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Block Matrix Invertibility: Implicit Function Theorem supplement
M G
98 подписчиков
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40 видео с канала:
M G
Block Matrix Invertibility: Implicit Function Theorem supplement
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Implicit Function Theorem - Multivariable Calculus
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Inverse Function Theorem: Prerequisite Lemmas
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Inverse Function Theorem
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Real exponentiation 3: e is transcendental
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Real exponentiation 2: Taylor series for log and exp
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Real exponentiation 1: Definitions and properties of log and exp
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Linear Programming Duality 8c: Equivalence of Farkas' lemma and Strong Duality
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Linear Programming Duality 8b: Algorithmic aspects of Farkas Lemma
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Linear Programming Duality 8a: Farkas' Lemma
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Linear Programming Duality 7c: Using Complementary Slackness
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Linear Programming Duality 7b: Proof of Complementary Slackness
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Linear Programming Duality 7a: Complementary Slackness Conditions
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Linear Programming Duality 6b: Proof of Strong Duality
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Linear Programming Duality 6a: Strong Duality
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Linear Programming Duality 5b: LP equivalence
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Linear Programming Duality 5a: Directly taking dual of an arbitrary linear program
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Linear Programming Duality 4: Weak Duality
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Linear Programming Duality 3: The dual of the dual
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Linear Programming Duality 2: Dual of a general LP (maximization)
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Linear Programming Duality 1: Dual of a linear program (in standard equality form)
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Additional facts about extreme points
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Geometry of Simplex algorithm
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Extreme points and basic feasible solutions
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Extreme points of polyhedra
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Tight constraints
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Convexity of polyhedra
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Feasible region of a linear program
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Bland's anti-cycling rule
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Existence of basic feasible solutions
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Simplex method: Phase I
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Formal simplex algorithm
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Finding better solutions via canonical forms
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Example of canonical forms of a linear program
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Canonical form of a linear program
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Basic solutions
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Basis and sub-matrix notation
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Standard equality form of a linear program
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Variable constraints
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What is a linear program?
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Канал: M G
Block Matrix Invertibility: Implicit Function Theorem supplement
Скачать
Implicit Function Theorem - Multivariable Calculus
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Inverse Function Theorem: Prerequisite Lemmas
Скачать
Inverse Function Theorem
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Real exponentiation 3: e is transcendental
Скачать
Real exponentiation 2: Taylor series for log and exp
Скачать
Real exponentiation 1: Definitions and properties of log and exp
Скачать
Linear Programming Duality 8c: Equivalence of Farkas' lemma and Strong Duality
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Linear Programming Duality 8b: Algorithmic aspects of Farkas Lemma
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Linear Programming Duality 8a: Farkas' Lemma
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Linear Programming Duality 7c: Using Complementary Slackness
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Linear Programming Duality 7b: Proof of Complementary Slackness
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Linear Programming Duality 7a: Complementary Slackness Conditions
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Linear Programming Duality 6b: Proof of Strong Duality
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Linear Programming Duality 6a: Strong Duality
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Linear Programming Duality 5b: LP equivalence
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Linear Programming Duality 5a: Directly taking dual of an arbitrary linear program
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Linear Programming Duality 4: Weak Duality
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Linear Programming Duality 3: The dual of the dual
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Linear Programming Duality 2: Dual of a general LP (maximization)
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Linear Programming Duality 1: Dual of a linear program (in standard equality form)
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Additional facts about extreme points
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Geometry of Simplex algorithm
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Extreme points and basic feasible solutions
Скачать
Extreme points of polyhedra
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Tight constraints
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Convexity of polyhedra
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Feasible region of a linear program
Скачать
Bland's anti-cycling rule
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Existence of basic feasible solutions
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Simplex method: Phase I
Скачать
Formal simplex algorithm
Скачать
Finding better solutions via canonical forms
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Example of canonical forms of a linear program
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Canonical form of a linear program
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Basic solutions
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Basis and sub-matrix notation
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Standard equality form of a linear program
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Variable constraints
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What is a linear program?
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