🪴 Quartz 4.0

Search

SearchSearch
            • Øving 1 forelesning
            • Softmax
            • Central Moments
            • Correlation
            • Covariance
            • Expected Value
            • Moments
            • Probability Density Function
            • Probability Distrubution Function (Cummulative)
            • Variance
              • Oversikt AlgDat
              • Øving 6
              • Counting Sort
              • Stable matching algorithms
              • Unstable Matching Algorithms
            • ==Pasted== image 20231128122428.png
            • 3-CNF-SAT
            • Abstrakte problemer
            • Aktivitetsproblemet
            • Algorithms
            • Algoritme - Algorithms
            • Antiparallelle kanter
            • Asymptotic Notation
            • Balansert binærtre
            • Banesammenligning - Path Compression
            • Bellman-Ford
            • Beslutningsproblem
            • Bevis - Masterteoremet
            • BFS-LABELING
            • Binær tre
            • Binære søketrær
            • Binærrelasjon
            • Bipartitt graf
            • Bredde-først søk (BFS)
            • Bucket Sort
            • Build-Max-Heap
            • Change base logarithm
            • CIRCUIT-SAT
            • CLIQUE
            • Co-NP definert ved formelle språk
            • CONNECTED-COMPONENTS
            • Dag-Shortest-Paths
            • Datastruktur
            • Del 3 - Data Structures
            • Del 5 - Advanced Data Structures
            • Del 6 - Graph Algorithms
            • Delsekvens (Subsequence)
            • Dens graf - Dense Graph
            • Dijkstras algoritme
            • Disjunkt-mengde skoger
            • Disjunkte mengder
            • Divisjonsmetoden - Division Method
            • Dybde-først søk (DFS)
            • Dynamisk programmering
            • Edmonds-Karps algoritme
            • Enkel sti
            • Enkoding
            • EXTENDED-SHORTEST-PATHS
            • FASTER-APSP
            • FIND-SET
            • Flere kilder eller flere sluk
            • Floyd-Warshalls algoritme
            • Flyt
            • Flytnett
            • Flytverdi
            • Ford-Fulkerson
            • Formelle språk
            • Forøkende sti - Augmenting Path
            • Fritt trær
            • Fullt binærtre
            • Gale-Shapley
            • GENERIC-MST
            • Glissen graf - Sparse Graph
            • Grådige algoritmer
            • Grådighetsegenskapen
            • Graf
            • Grafrepresentasjon
            • Hamiltonian cycle problemet (HAM-CYCLE)
            • Hashtabell
            • Hauger
            • Hauger - Heaps
            • Heap-Extract-Max
            • Heap-Increase-Key
            • Heap-Max
            • Heapsort
            • Heltallsteoremet
            • Hersk og splitt - Divide-and-Conquer
            • Heuristic programming
            • Heuristikk for å forbedre kjøretid
            • Huffmankoding
            • Hvordan bevise NPC generelt
            • Hvordan lage en hashfunksjon
            • Hvordan unngå kollisjoner - Collision Resolution Technique
            • In-Place Algorithm
            • Independent uniform hash function
            • INITIALIZE-SINGLE-SOURCE
            • Inorder Tree Walk
            • Insertion Sort
            • Iteration Method
            • Johnsons algoritme
            • Kant
            • Kantklassifisering
            • Kapasitet
            • Kapittel 1 - The Role of Algorithms in Computing
            • Kapittel 2 - Getting Started
            • Kapittel 3 - Characterizing Running Times
            • Kapittel 4 - Divide-and-Conquer
            • Kapittel 6 - Heapsort
            • Kapittel 7 - Quicksort
            • Kapittel 8 - Sorting in Linear Time
            • Kapittel 10 - Elementary Data Structures
            • Kapittel 11 - Hash Tables
            • Kapittel 12 - Binary Search Trees
            • Kapittel 15 - Greedy Algorithms
            • Kapittel 16 - Amortized Analysis
            • Kapittel 19 - Data Structures for Disjoint Sets
            • Kapittel 20 - Elementary Graph Algorithms
            • Kapittel 21 - Minimum Spanning Trees
            • Kapittel 22 - Single-Source Shortest Paths
            • Kapittel 23 - All-Pairs Shortest Paths
            • Kapittel 24 - Maximum Flow
            • Kapittel 25 - Matchings in Bipartite Graphs
            • Kjeding - Chaining
            • Kø - Queue
            • Kolisjon - Collision
            • Kompleksitetsklassene
            • Korteste vei fra alle til alle
            • Korteste vei fra en til alle
            • Left
            • Lenket liste - Linked List
            • Lett kant
            • LINK
            • LIST-PREPEND
            • LIST-SEARCH
            • MAKE-SET
            • Maksimal flyt - Maximum flow
            • Maksimum bipartitt matching
            • Master-theorem
            • Max-flow min-cut Teoremet
            • Max-Heap-Extract-Max
            • Max-Heap-Increase-Key
            • Max-Heap-Insert
            • Max-Heap-Maximum
            • max-heap-property
            • Max-Heapify
            • max-heaps
            • max-priority queues
            • Merge
            • Merge-Sort
            • Metoder for å finne minimale spenntrær
            • min-heap property
            • min-heaps
            • Minimale spenntrær
            • Minimalt snitt og heltallsteoremet
            • MST-KRUSKAL
            • MST-PRIM
            • Multiplikasjon,shift metoden - Multiply-shift method
            • Multiplikasjonsmetoden - Multiplication Method
            • Nabolister
            • Nabomatrise
            • Nabomatriser
            • Naiv Algoritme
            • Nettoflyt
            • NP definert ved formelle språk
            • NP problem
            • NP-harde problemer (NPH)
            • NP-komplett problem (NPC)
            • NP-komplett ved formelle språk
            • NP-Kompletthet
            • NPC problemer
            • Optimal Delstruktur
            • Optimeringsproblemer
            • Optimum
            • Overlappende Delinstanser
            • Oversikt AlgDat
            • P problem
            • P=NP
            • Parent
            • Partition
            • Pensumoversikt AlgDat
            • Perfekt binærtre
            • Polynomisk tid
            • PRINT-ALL-PAIRS-SHORTEST-PATH
            • Prioritetskøer - Priority queues
            • Problemer og Algoritmer
            • Quicksort
            • Radix-Sort
            • Random-access machine (RAM)
            • Randomized Partition
            • Randomized Quicksort
            • Randomized Select
            • Rang
            • Recurrence Equations
            • Recursion tree
            • Reduksjon ved formelle språk
            • Redusibilitet
            • Regularity Condition
            • RELAX
            • Representant-node
            • Restnett - Residual Network
            • RIGHT
            • Rotfast tre
            • Rotfaste trestrukturer
            • Ryggsekkproblemet
            • SAME-COMPOMENT
            • Sammenligningsalgoritme
            • SAT
            • Sentinels
            • SLOW-APSP
            • Sorteringsgrensa
            • Spenntrær
            • Spenntrær, kruskal og prim
            • Språkteori for NPC problemer
            • Stakk - Stack
            • Stirlings approximation
            • SUBSET-SUM
            • Substitution Method
            • Substring
            • Superpolynomisk tid
            • Topologisk sortering
            • Trær
            • Transitive Closure
            • Traveling Salesman Problem (TSP)
            • Traversering av grafer
            • Tree-Insert
            • Tree-Search
            • Trygg kant
            • UNION
            • Union etter rang - Union By Rank
            • Untitled
            • Urettet trær
            • Vektede grafer
            • Verifikasjonsalgoritme
            • VERTEX-COVER
              • Assigment 4
              • Assignment 3
              • Assignment 5
              • Assignment 6
              • Assignment 7
              • Assignment 9
              • Assignments
              • Untitled
            • Aliasing
            • Aliasing - Folding
            • Autocorrelation
            • Autocorrelation estimators
            • Autoregressive (AR) Process
            • Autoregressive, Moving Average (ARMA) process
            • Bandlimited Signal
            • Chapter 5 - Frequency-Domain Analysis of LTI Systems
            • Chapter 12 - Linear Prediction and Optimum Linear Filters
            • Circular Convolution
            • Crosscorrelation
            • Decimation
            • Design of Digital Filters - FIR, IIR
            • DFT - Discrete Fourier Transform
            • DFT - Discrete Fourier Transform for Filtering and Frequency Analysis
            • Direct form 1 - DF1
            • Direct form 2 - DF2
            • Discrete Random Signals
            • DTFT - Discrete Time Fourier Transform
            • Energy Density Spectrum
            • Energy spectral density
            • Ensemble Average
            • Ergodic process
            • Estimation Basics and Periodogram
            • FFT- Fast Fourier Transform
            • Filter Structures
            • Finite Geometric Series
            • Finite-Precision Effects
            • Forward Linear Prediction
            • Frequency-Domain Analysis of LTI Systems
            • Gauss-Markov Process
            • Geometric series
            • Input-output correlations
            • Interpolation
            • Inverse Z-transform and Residues
            • Linear Phase
            • Linear Prediction
            • Minimum-Phase
            • Modeling of Stochastic Processes
            • Moving Average (MA) process
            • Multirate signal processing
            • Noise-Whitening Filter
            • Nyquist Sampling Theorem
            • Power Density Spectrum (PDS)
            • Quantization in digital filters
            • Radix-2 FFT
            • Rate
            • Region of Convergence
            • Relationship between DTFT and DFT
            • Sampling and Reconstruction Of Signals
            • Sampling Theorem
            • Signals
            • Stochastic Processes
            • Stochastic signal
            • Time Domain Aliasing
            • Untitled
            • Wagon Wheel Effect
            • Wide-sense stationary process
            • Wiener Filter
            • Wold representation
            • Yule-Walker equations
            • Yule-Walker Method for AR Model Parameters
            • Zero Padding
            • TDT4120_forelesningsplan_h2023
              • Assignment 4
              • Assignment 5
              • LinSys Assignment 2
              • LinSys Assignment 3
                • Linsys lab forberedelser dag 2
                • Linsys lab forberedelser dag 3
                • Linsys lab forberedelser dag 4
                • Linsys lab dag 2
                • Linsys lab dag 3
                • Linsys lab dag 4
              • Report
            • Addivity
            • Algebraic Equivalence
            • Algebraic Ricatti Equation
            • Asymptotic Stabillity
            • Autocovariance
            • Band-limited Differentiation
            • Basis
            • BIBO Stability
            • Canonical Decompositions
            • Canonical Forms
            • Causality
            • Cayley Hamilton Theorem
            • Certainty Equivalence
            • Chapter 1 - Introduction
            • Chapter 2 -Mathematical Descriptions of Systems
            • Closed-loop Estimator - Luenberger Observer
            • Colored Noise
            • Colored Noise in Kalman Filter
            • Comprime
            • Controllability
            • Controllability Gramian
            • Controllability Index
            • Controllability Matrix
            • Controllable Canonical Form
            • Controllable Form
            • Conveyor Belt Case Study
            • Covariance Matrix
            • Covariance Matrix of the Estimation Error
            • Deterministic process
            • Diagonal Form
            • Discrete Time Covariance Matrix of the Estimation Error
            • Discrete Time Kalman Filter
            • Discrete Time Kalman Gain Matrix
            • Discretization
            • Dual System
            • Duality
            • Equivalent Representations of Systems and Matrices
            • Equivalent Systems
            • Estimate Update Law
            • Estimation Error
            • Euler Discretization
            • Exact discretization
            • Exponential Stability
            • Functions of a Square Matrix
            • Functions of Finite Polynomials
            • Homogeneity
            • Improper Transfer Function
            • Integral Effect
            • Internal Stability
            • Jordan Block
            • Jordan Form
            • Kalman Filter
            • Kalman Filter for Time Varying Models
            • Kalman Filter in Continuous Time
            • Kalman Gain
            • Leading Principle Minors
            • Lecture 2 - Equivalent representations, canonical forms, functions of square matrices
            • Lecture 3 - Discretization, Controllability, State feedback
            • Lecture 4 - State feedback, Optimal control
            • Lecture 5 - Realizations, Observability
            • Lecture 6 - State estimation and the separation principle
            • Lecture 7 - Stability
            • Lecture 8 - Canonical Decompositions and Minimal Realizations
            • Lecture 9 - Random Processes
            • Lecture 10 - Random State Space Systems
            • Lecture 11 and 12 - The Kalman Filter
            • Linear System
            • LinSys; Linear Quadratic Regulator - LQR
            • LQR and Kalman Filter Duality
            • Lyapunov Test for Controllability
            • Lyapunov Test for Stability
            • Lyapunov Theorem
            • Marginal Stability
            • Matrix rules and tricks
            • Measurement Equation Inversion
            • Memoryless system
            • Minimal Realization
            • Minimal realizations
            • Modal Form
            • Multi-input Controllability
            • Noise Supression
            • Nonsingular matrix
            • Null Space
            • Nullity
            • Observability
            • Observability Gramian
            • Observability Matrix
            • Open-loop Estimator
            • Output feedback controller
            • Overview LinSys
            • Popov-Belevitch-Hautus Test
            • Positive-Definite Matrix
            • Proper
            • Proper Transfer Function
            • Random processes
            • Random State Space Systems
            • Real constant matrix
            • Realizations
            • Reference Feed-Forward
            • Separation Principle
            • Similarity Transform
            • Stability
            • Stability in Discrete Time
            • Stabilizability
            • State Estimation
            • State Feedback, and Optimal Control
            • State Space Representation
            • State-feedback
            • Stationary Random Processes
            • Strictly Proper Transfer Functions
            • Superposition
            • Symmetric Matrix
            • Time Invariance
            • Transformation Matrix
            • TTK4115-Pensum Oversikt
            • Zero-state Equivalence
              • TekLed Økonomi Eksamen
                • Øving 1
                • Øving 2
            • Balansen
            • Bedriftssimulator
            • Beslutningstrær
            • Beta - enkeltaksjers bidrag til porteføljerisiko
            • Bruk av kapitalverdimodellen
            • Budsjettering
            • Capital Asset Pricing Model - CAPM SLASH Kapitalverdimodellen - KVM
            • Debet og kredit
            • Dekningsbidrag
            • Dekningsgrad
            • Diskonteringsrente
            • Dobbel bokføring
            • Dødvektstap
            • Egenkapitalrentabilitet R_EK
            • Ekstraordinære kostnader
            • Erfaringsgoder
            • Etterspørsel (Q(P))
            • Etterspørselselastisitet (ε)
            • Finansieringsanalyse-gjeldsgrad og soliditet
            • Finansregnskapet
            • Følsomhetsanalyse
            • Forelesningsplan
            • Fortjeneste
            • Frikonkurranse
            • Giring - bruk av lån til å øke egenkapitalrentabiliteten
            • Gjeldsgrad
            • Gjennomsnittsinntekt (AR)
            • Gjennomsnittskostnad (AC)
            • Gjennomsnittsproduktiviteten til arbeid (GPL)
            • Grensen for diversifisering
            • Grunnleggende regnskapsbegreper
            • Grunnleggends regnskapsanalyse av finansregnskapet
            • Historisk risiko og avkastning
            • Indirekte kostnader
            • Inntakskost (Direkte kostnad)
            • Inntekt og marginalinntekt (TR, MR)
            • Internregnskapet
            • Internrenteberegning og bruk av internrenten
            • Investeringer
            • Isokostnadskurven
            • Isokvanter
            • Kalkyle etter bidragsmetoden
            • Kalkyle etter selvkostmetoden
            • Kalkyler
            • Kapittel 6 - Organisasjonsstruktur
            • Kapittel 13 - Mikroøkonomi og markedsformer
            • Kapittel 14 - Regnskapsanalyse og økonomistyring
            • Kapittel 15 - Investeringsanalyse
            • Konsumentoverskudd KO
            • Kortsiktige produksjonsfunksjoner
            • Kostnad
            • Kostnader (TC, VC, FC, AC)
            • Kostnadsbegreper
            • Kostnadsbudsjett
            • Kostnadsstruktur
            • Kredittrisiko
            • Læringskurveeffekt
            • Langsiktige produksjonsfunksjoner
            • Likviditetsanalyse
            • Likviditetsbudsjett
            • Likviditetsgrad 1
            • Likviditetsgrad 2
            • Lønnsomhetsanalyse-total-og egenkapitalrentabilitet
            • Loven om avtakende marginalprodukt
            • Mål på risiko
            • Marginalkostnad (MC)
            • Marginalproduktiviteten til arbeid (MPL)
            • Markeder med frikonkurranse
            • Markeder med to eller få produsenter (duopol,oligopol)
            • Markedsportefølje
            • Mikroøkonomisk teori som modellapparat
            • Modigliani og Millers andre proposisjon - MnM II
            • Modigliani og Millers første proposisjon - MnM I
            • Monopol og dødvektstap
            • Monopol, duopol og oligo poler
            • Monte Carlo simulering
            • Nash-likevekt
            • Naturlige monopoler
            • Nåverdi NV
            • Nåverdiberegninger
            • Negative skalaeffekter - Skalaulemper
            • Nettonåverdi NNV
            • Nullpunkt
            • Nullpunktsanalyser
            • Pareto-optimal
            • Pekuniære skalaeffekter
            • Portefølje
            • Porteføljerisiko
            • Positive skalaeffekter
            • Pristilpassere
            • Produsentoverskudd PO
            • Profitt (Ⲡ) og analyse av profitt
            • Profitt og analyse av profitt
            • Reelle skalaeffekter
            • Rentedekningsgrad
            • Resultatbudsjett
            • Resultatregnskapet
            • Risiko og avkastning
            • Risikoanalyse
            • Samfunnsøkonomisk dødvektstap
            • Samfunnsøkonomisk lønnsomhet SO
            • Sammenheng etterspørselselastisitet og marginalinntekt
            • Scenarioanalyse
            • Selskapets kapitalkostnad og verdipapirmarkedslinjen
            • Selvkost
            • Selvkostkalkyle i handelsbedrifter
            • Sharpe Ratio
            • Sikkerhetsmargin
            • Skalaavkastning
            • Søkegoder
            • Soliditetsgrad
            • T-konto
            • Teknologi, substitusjon og isokvanter
            • Tidsverdi
            • Tilbud og markedslikevekt
            • Tillitsgoder
            • Totalrentabilitet R_TK
            • Ulike markedesformer
            • Utbetaling
            • Utgift
          • Leseplan - 5. Semester
              • Estimation 1 - MVU and CRLB
              • Estimation 2 - Linear models, BLUE, MLE, and Bayesian Estimators
              • Overview Estimation
              • README for classification project
              • The Iris Task
              • The MNIST Task
            • Asymptotic Properties of the MLE
            • Bayes Decision Rule
            • Bayes Risk
            • Bayes Theorem
            • Bayes' Law
            • Bayesian Detection
            • Bayesian Estimation
            • Bayesian Estimators
            • Bayesian MSE Estimators
            • Best Linear Unbiased Estimator (BLUE)
            • Binary Hypothesis
            • Central Moments of a Random Variable
            • Classical Estimation
            • Classifiers based on Bayes Decision Theory
            • Clustering
            • Confusion Matrix for Hypothesis Testing
            • Cramer-Rao Lower Bound
            • Decision Regions
            • Density Estimation
            • Detector
            • Efficient Estimator
            • Estimation Theory
            • Fisher Matrix
            • General Bayesian Estimators
            • General Linear Model
            • Independent and Identically Distributed Random Variables
            • Invariance Property of the MLE
            • K-means Clustering
            • Lecture 1 - Course Description
            • Lecture 2 - Review of Probability Theory, Random Variables and Stochastic Processes
            • Lecture 3 - Minimum-Variance Unbiased Estimation
            • Lecture 9 - Hypothesis Testing
            • Lecture 10 - Neyman-Pearson and Bayesian Detectors
            • Lecture 11&12 - Matched Filter and Replica Correlator
            • Lecture 14&15 - Classification and Classification Systems
            • Lectures Estimering
            • Likelihood Function
            • Likelihood-Ratio Test
            • Linear Classifier
            • Linear Discriminant Function
            • Linear Mapping
            • Linear Model
            • Linear Model with Non-White Noise
            • Linear Separable Problem
            • Mean Square Error
            • Minimum Mean Square Error
            • Minimum Probability of Error
            • Minimum Variance Unbiased Estimator
            • Moments of a Random Variable
            • Multiple-Hypotheses Testing
            • Neyman-Pearson Theorem
            • Noise Covariance Matrix
            • Non-Separable Problem
            • Nonlinear Separable Problem
            • Nonparametric Techniques
            • Observation Space
            • On-off Keyed Communication
            • Parzen-Window
            • Power of Test
            • Receiver Operating Characteristics
            • Reciever
            • Reinforcement Learning
            • Semi-Supervised Learning
            • Sigmoid
            • Size of Test
            • Statistical Independence
            • Sufficient Statistic
            • Supervised Learning
            • The Best Linear Unbiased Estimator
            • The Estimator for the Linear Model
            • The Maximum Likelihood Estimator
            • The Maximum-a-posteriori Estimator
            • The Minimum Variance Criterion
            • TTT4275 - Estimering, deteksjon og klassifisering
            • Unbiased Estimator
            • Unsupervised Learning
            • Untitled
            • With Regards To
              • Assignment 1 - Introduction to modsim
              • Assignment 2 - Kinematics 1
              • Assignment 3 - Kinematics 2
              • Assignment 4 - Newton-Euler
              • Assignment 5 - Lagrange 1
              • Assignment 6 - Lagrange 2
              • Assignment 7 - Basic Bond Graphs 1
              • Assignment 8 - Basic Bond Graphs 2
              • Overview Exam ModSim
            • Acceleration Form
            • Accuracy of the Forward (Explicit) Euler Method
            • Angle Axis Representation
            • Angular Acceleration
            • Angular Momentum
            • Angular Velocities
            • Basic 1-port Elements
            • Basic 2-port Elements
            • Basic Elements
            • Basic Hydraulic Components
            • Butcher Tableau
            • Causal Stroke
            • Cheat sheet for exam
            • Composite Rotation Transformation
            • Configuration Space
            • Consistency Condition
            • Constrained Lagrange
            • Course Recap
            • Differential Algebraic Equations
            • Differential Index
            • Effort
            • Energy Flow Direction
            • Euler Angles
            • Euler Half-Step
            • Euler-Lagrange Equation
            • Flow
            • From a Vector to a Skew Symmetric Matrix
            • Generalized Coordinates
            • Generalized Forces
            • Generalized Momentum Force
            • Global Error
            • Hydraulic system modelling procedure
            • Kinematics Module
            • Kinetic Energy
            • Kinetics in Linear Motion
            • Kinetics in Rotation
            • Lagrange Equation
            • Lagrange Mechanics
            • Lecture 01 - Introduction
            • Lecture 02 - Modelling and Simulation
            • Lecture 03 - Kinematics 1
            • Lecture 04 - Kinematics 2
            • Lecture 05 - Kinematics 3
            • Lecture 06 - Kinematics 4
            • Lecture 07&08 - Rigid Body Dynamics 1&2
            • Lecture 09&10 - Rigid Body Dynamics 3&4
            • Lecture 11&12 - Rigid Body Dynamics 5&6
            • Lecture 13&14 - System Dynamics
            • Lecture 15 - Basic System Modelling 3
            • Lecture 16 - Basic System Modelling 4
            • Lecture 17&18 - Basic System Modelling 5&6
            • Lectures ModSim
            • Linear Acceleration
            • Linear Momentum
            • Linear Velocity
            • Linear Velocity of a Point That Is Fixed Within a Rotating Reference Frame
            • Mid-Point Method
            • New Lagrangian
            • Newton-Euler Equations of motion
            • Notation ModSim
            • Numerical Simulation
            • Ordinary Differential Equation
            • Parallel Axis Theorem
            • Potential Energy
            • Power Bonds
            • Power Variables and Energy Variables
            • Principal Rotation Matrix
            • Procedure for Modelling Electrical Systems
            • Procedure for Modelling Mechanical Systems
            • Properties of Rotation Transform Matrices
            • Punctual Mass
            • Recap Rigid Body Dynamics
            • Reference Frame
            • Reynolds Number
            • Rotation Matrix
            • Rotation Transformation
            • Skew-Symmetric Cross Product Matrix Formula
            • Skew-Symmetric Matrix
            • Stability of the Forward Euler Method
            • State Space Formulations
            • Subsystems
            • Tetrahedron of State
            • Transformer Element
            • TTK4130 - Modellering og simulering
                • General Information
                • Helicopter Lab Day 1
                • Helicopter Lab Day 2
                • Helicopter Lab Day 3
                • Helicopter Lab Day 4
                • Helicopter Lab Report
                • Matlab Assignment 1
                • Matlab Assignment 2
                • Matlab Assignment 3
                • Matlab Assignment 4
                • Matlab Assignment 5
                • Matlab Assignment 6
              • Exercise 0 - Matrix Calculus
              • Exercise 1 - The KKT Conditions
              • Exercise 2 - LP and KKT Conditions
              • Exercise 3 - LP, QP, and KKT Conditions
              • Exercise 4 - Quadratic Programming
              • Exercise 5 - Open-Loop Optimal Control and MPC
              • Exercise 6 - MPC and LQR
              • Exercise 7 - Riccati Equation and State Estimation
              • Exercise 8 - Unconstrained Optimization
              • Overview OptReg Exam Period
              • Exercise 4 - Quadratic Programming
              • Exercise 5 - Open-Loop Optimal Control and MPC
              • Exercise 6 - MPC and LQR
              • Exercise 7 - Riccati Equation and State Estimation
              • Exercise 8 - Unconstrained Optimization
              • General Information
              • Helicopter Lab Day 2
              • Helicopter Lab Day 3
              • Helicopter Lab Day 4
              • Helicopter Lab Report
              • Matlab Assignment 2
              • Matlab Assignment 3
              • Matlab Assignment 4
              • Matlab Assignment 5
              • Matlab Assignment 6
              • Lectures OptReg
              • TTK4135 - Optimalisering og regulering
            • ∞-norm
            • 1-norm
            • 2-norm
            • Active Set
            • Active-Set Method for Convex QP
            • Basic Feasible Point (BFP)
            • BFGS update formula
            • Bias Update
            • Common Vector Norms (p-norms)
            • Condition Number
            • Constrained Problem
            • Constraint Qualification
            • Convex Objective Function
            • Convex Optimization Problem
            • Critical Cone
            • Degeneracy
            • Descent Directions
            • Detectability
            • Duality for Nonlinear Programming
            • Dynamic Optimization
            • Equality-Constrained Quadratic Programs
            • Example of Simplex Method
            • Feasible
            • Feasible Set
            • Fundamental Theorem of Linear Algebra
            • General Algorithm for Solving Unconstrained Optimization
            • General Dynamic Optimization Problem
            • General Optimization Problem
            • Gradient
            • Gradient With Respect to a Variable
            • Hessian
            • Horizon
            • Ill conditioned Matrix
            • Inequality Constraint
            • Infimum
            • Jacobian
            • KKT (Karush–Kuhn–Tucker) Conditions
            • KKT Matrix for Equality-Constrained QPs
            • Lagrangian
            • Lecture 1 - Optimization, What and Why?
            • Lecture 2 - Optimality Conditions
            • Lecture 3 - Optimality conditions, constraint qualifications, 2nd order optimality conditions
            • Lecture 4&5 - Linear Programming (LP)
            • Lecture 6&7 - Quadratic Programming
            • Lecture 8 - Open-Loop Dynamic Optimization
            • Lecture 9 - Linear Quadratic Control
            • Lecture 10 - Model Predictive Control
            • Lecture 11 - Practical use of MPC
            • Lecture 12 - Summing up MPC and LQ
            • Lecture 13 - Unconstrained Optimization
            • Lecture 15 - Quasi-Newton
            • Lecture 16 - Calculating Derivatives and Derivative-Free Optimization
            • Line Search Methods
            • Linear Independence Constraint Qualification
            • Linear Programming
            • Lipschitz Continuity
            • LU Decomposition
            • Matrix Factorization
            • Matrix Inversion Lemma
            • Mean Value Theorem
            • Necessary Condition
            • Newton Direction
            • Newton's Method for Nonlinear Equations
            • Nominal Stability
            • Nonlinear Equations
            • One step of Simplex-Algorithm
            • Optimality Conditions
            • Optimization
            • Positive-Semidefinite Matrix
            • Properties of Linear Programming Problems
            • Quadratic Programming Problem on Standard Form
            • Quasi-Dynamic Optimization
            • Quasi-Newton
            • Range Space
            • Robust Stability
            • Rosenbrock Function
            • s
            • Scaling
            • Secant Equation
            • Second-Order Necessary Conditions (SONC)
            • Second-Order Sufficient Condition (SOSC)
            • Sensitivity
            • Sensitivity Analysis
            • Sequential quadratic programming
            • Simplex Method
            • Slack Variable
            • Standard LP
            • Static Optimization
            • Steady State
            • Steepest Descent
            • Step Length
            • Strong Duality
            • Sufficient Condition
            • Taylors Theorem
            • Termination Criteria
            • The Dual LP Problem
            • The Feasibility Problem
            • The Set of Linearized Feasible Directions
            • Transforming a Linear Programming Problem Into Standard Form
            • Types of Constrained Optimization Problems
            • Weak Duality
            • Well-Conditioned Matrix
            • Wolfe Condition
              • Code Quality Trial Exam
              • Conditional Critical Region
              • Critical Region
              • Fixed-Priority Scheduling
              • Introducing Shared Variable Synchronization Trial Exam
              • Monitors
              • Mutual Exclusion
              • Overview Exam Sanntid
              • Producer-Consumer
              • Response Time Analysis for FPS
              • Scheduling
              • Scheduling Test
              • Shared Variable Synchronization Trial Exam
              • Shared Variable-Based Synchronization and Communication
              • Static and Dynamic Scheduling Scheme
              • Task-based Scheduling
              • The Cyclic Executive Approach
              • Utilization-Based Schedulability Test for FPS
              • V2023
              • 2 - Concurrency
                • Exercise1
                • questions
                • result
                • README
                • resources
                • working-from-home
                • README
                • README Ex4
                • 2 - Concurrency
                • 3 - Networking
                • 6 - Designing for Crashability
                • Success Detection
                • Supervisor
                • Peer Review
                • README for elevator project
                • Untitled
                • Untitled 1
                • Work-log Project
              • Peer Review
              • README for elevator project
              • Untitled
              • Untitled 1
              • Work-log Project
            • Acceptance Test
            • ACID properties
            • Atomic Actions
            • Atomic Actions, Concurrent Tasks and Reliability
            • Atomic Operation
            • Atomic Transactions
            • Atomicity
            • Backward Error Recovery
            • Basic Fault Tolerance
            • Checkpoint-Restart
            • Concurrent Events
            • Consistency
            • Context Switch
            • Cooperative Scheduling
            • Coordinator
            • Domino Effect
            • Durability
            • Dynamic Redundancy
            • Encapsulation
            • Execution Model
            • Failure Modes
            • Fault Model and Software Fault Masking
            • Fault Prevention
            • Fault Tolerance
            • Forward Error Recovery
            • How Sleep Works
            • Intelligent Design
            • Isolation
            • Lecture 2&3 - Code Quality
            • Lectures sanntid
            • Lightswitch
            • Maintainable System
            • Module
            • N-Version Programming
            • Preemptive Scheduling
            • Process Pair
            • pthread
            • pthread_create()
            • Race Conditions
            • Redundancy
            • Reliable Calculations
            • Reliable Communication
            • Reliable Data Storage
            • Scheduler
            • Semaphores
            • Shared Variable Synchronization
            • Sockets
            • Source D-Compiler
            • Starting a Thread
            • Synchronization
            • TCP (Transmission Control Protocol)
            • The Resumption Model of Asynchronous Notification Handling
            • Thread
            • Thread Swapping
            • Transactions
            • TTK4145 - Sanntidsprogrammering
            • Turnstile
            • Two-Phase Atomic Actions
            • UDP (User Datagram Protocol)
            • Week 9 - Atomic Actions, Leaving backward error recovery
          • Timeplan 6.semester
              • CG Assignment 1
              • CG Assignment 2
              • IP Assignment 2
            • 2D manifold
            • 3D Rasterization Pipeline
            • Affine Combination
            • Affine Transformation
            • Back-Face Culling
            • Bidirectional Reflectance Distribution Function
            • Catmull's Algorithm
            • Center of Projection
            • CG Anti-Aliasing
            • CIE XYZ Color Model
            • Clipping
            • Cohen-Sutherland Algorithm
            • Color Model
            • Convex Affine Combination
            • Erosion
            • Eye Coordinate System
            • Finite Differences
            • Frustum Culling
            • Graphics Pipeline
            • Greiner-Hormann Algorithm
            • Grid Traversal
            • Hidden Surface Elimination
            • Illumination Model
            • Inner Product
            • Liang-Barsky Algorithm
            • Morphological Image Processing
            • Normalized Device Coordinates
            • Occlusion Culling
            • Oversikt Gruvis
            • Parallel Projection
            • Perspective Projection
            • Phong Illimunation Model
            • Primitives
            • Projection
            • Rasterization
            • Region Growing
            • RGB Color Model
            • Scene Managment
            • Scene-Graphs
            • Sutherland-Hodgman Algorithm
            • TDT4195 - Grunnleggende visuell databehandling
            • Transformations
            • Vertex Array Object
            • Vertex Attribute Pointer
            • Vertex Attributes
            • Z-Buffer Algorithm
              • Assignment 1
              • Assignment 2, Part 1
              • Assignment 2, Part 2
              • Assignment 2, Part 3
              • Assignment 2, Part 4
              • Assignment 2, Part 5
            • Chapter 2 - Kinematics
            • Chapter 3 - Rigid-Body Kinetics
            • Crab Angle
            • Global Asymptotic Stability
            • Hydrostatics
            • Lyapunov Stability
            • Maneuvering Models
            • Oversikt NavFart
            • Radially Unbounded
            • Rigid-Body Kinetics
            • TTK4190 - Navigasjon og Fartøystyring
                • CA 2
                • Computer Assignment 1
              • Assignment 1
              • Assignment 2
              • Assignment 3
              • Assignment 4
              • Assignment 5
              • Assignment 6
            • Attitude Representations
            • Axioms of Probability
            • Bayesian Networks
            • Belief Propagation
            • Chapman - Kolmogorov Equation
            • Chapter 2 - Foundations of Probability Theory
            • Characteristic Function
            • Chi Squared Distribution
            • Clutter
            • Dead Reckoning
            • Fast-SLAM
            • From the Kalman filter to stochastic processes
            • Gamma Distribution
            • Gamma Function
            • Gauss-Newton
            • Gaussian Mixtures
            • Generating Functions
            • Hybrid Chapman - Kolmogorov
            • Information Form
            • Integrated Probabilistic Data Association
            • Interacting Multiple Models
            • Joint Probabilistic Data Association
            • Joseph Form
            • Markov Random Fields
            • Moment-Generating Function
            • Multi Target Tracking
            • Multivariate Gaussian
            • Normalized Estimation Error Squared
            • Normalized Innovations Squared
            • Particle Filter
            • Poisson Distribution
            • Poisson Point Process
            • Probabilistic Data Association Filter
            • Probability-Generating Function
            • Quaternions
            • Rao-Blackwellization
            • Sensor - Kalman Filter
            • Simultaneous Localization and Mapping
            • Single-Target Assumption
            • Single-Target Tracking
            • The Bayes Tree
            • The Error-State Kalman Filter
            • The Hybrid State Concept
            • The Product Identity
            • Total Probability Theorem
            • Transformation of Random Variable
            • TTK4250 - Sensorfusjon
            • White Gaussian Noise
            • Wiener Process
              • Poster Visfor
              • Reflection Note
              • Video VisFor
            • Data-Ink Ratio
            • Lecture 2 - Information and data visualization
            • Lecture 3 - How the brain works
            • Lecture 4 Graph and table design
            • TPD4114 - Visuell formidling
          • Timeplan 7. Semester
            • Landsby Informasjon
            • Valg av landsby
          • Eigenvectors and Eigenvalues
        • README
        • Callouts
          • Colcon
          • Colcon build
          • RQt
          • rqt_graph
            • Index.js
          • Format
        • Annotating Data
        • Building Open-CV with Cuda jetsson
        • Clang
        • Debugger with ROS2 and C++
        • Enable Scrolling in tmux
        • Fix obsidian git for ipad
        • Forward SSH key over SSH
        • Git Large File Storage
        • Idun HPC
        • Image Viewer ROS2
        • Language server C++ (ROS2)
        • Open Neural Network Exchange
        • Orin-NX
        • Profiler
        • Prompts
        • pull submodules
        • ROS 2
        • ROS2 Developer guide
        • Setting up ROS2 project
        • shared object
        • Show Interface ROS2
        • Slurm
        • ssh-agent forwarding
        • YOLO in C++
        • YOLOv8
        • Basic function plotting in tikz
        • Circuittikz
        • Pgfplots
        • Tikz-cd
      • README
    Home

    ❯

    NTNU

    ❯

    5. Semester

    ❯

    Algoritmer og Datastrukturer

    ❯

    Korteste vei fra en til alle

    Korteste vei fra en til alle

    Jan 06, 2025, 1 min read

    Til forskjell på Minimale spenntrær, som tar for seg uretta grafer, tar korteste vei problemer for seg rettede grafer. Vi bryr oss også om startnoden.

    Har Optimal Delstruktur.


    Engelsk: Single source shortest paths

    Problemet: Enkel sti

    Algoritmer

    Bellman-Ford sjekker negative sykler, og bruker RELAX V−1 ganger Dag-Shortest-Paths ser kun på asykliske grafer.

    Bellman-Ford Dag-Shortest-Paths Dijkstras algoritme

    Hjelpefunksjoner

    RELAX INITIALIZE-SINGLE-SOURCE

    Graph View

    Korteste vei fra en til alleMinimale spenntrærOptimal DelstrukturEnkel stiRELAXBellman-FordDag-Shortest-PathsDijkstras algoritmeINITIALIZE-SINGLE-SOURCEKapittel 22 - Single-Source Shortest PathsKorteste vei fra alle til alleOptimeringsproblemerOversikt AlgDat
    • Algoritmer
    • Hjelpefunksjoner

    Backlinks

    • Dijkstras algoritme
    • Kapittel 22 - Single-Source Shortest Paths
    • Korteste vei fra alle til alle
    • Optimeringsproblemer
    • Oversikt AlgDat

    Created with Quartz v4.2.2 © 2025

    • GitHub
    • Discord Community