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Related lectures (30)
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Differential Calculus: Definition and Derivability
Explores the definition and derivability of functions in differential calculus, emphasizing differentiability at specific points.
Tangent to Graph of a Function
Explores finding the equation of the tangent line to a function's graph at a point.
Derivability and Continuity
Explores derivability, continuity, and composite functions with illustrative examples.
Partial Derivatives: Derivability
Explores partial derivatives and derivability of functions, emphasizing geometric interpretations and avoiding common pitfalls.
Partial Derivatives and Functions
Explores partial derivatives and functions in multivariable calculus, emphasizing their importance and practical applications.
Derivatives: Definition and Properties
Explores the definition and properties of derivatives, including slopes of tangent lines and differentiability conditions.
Concavity and Convexity: Analysis of Functions
Explores concavity, convexity, critical points, and singularities in functions.
Convergence Criteria: Necessary Conditions
Explains necessary conditions for convergence in optimization problems.
Differentiability: Partial Derivatives and Hessiennes
Explains partial derivatives, Hessienne matrix, and their properties.
Linear Approximation and Derivative Parametric
Covers linear approximation, parametric derivatives, and differentiability conditions on intervals.
Riemann Sums and Definite Integrals
Covers Riemann sums, definite integrals, Taylor series, and exponential of complex numbers.
Derivatives and Tangent Planes
Covers derivatives, differentiability, and tangent planes for functions of one and two variables.
Convexity and Concavity
Covers the concepts of convexity and concavity in functions with examples.
Convexity Study and Limiting Developments
Explores convexity, concavity, and limiting developments for functions, emphasizing extrema and derivative properties.
Partial Derivatives: Generalization and Order 2
Explains partial derivatives, generalization, and second order derivatives with examples and mathematical notations.
Optimality Conditions: Unconstrained
Covers Fermat's theorem, necessary optimality conditions, convexity, and eigenvalue curvature in optimization.
Exact Linearization: Earth Dynamics and Stabilization
Explores exact linearization techniques for transforming non-linear systems into linear ones, emphasizing system stability.
Differential Calculation: Trigonometric Derivatives
Explores trigonometric derivatives, composition of functions, and inflection points in differential calculation.
Jacobian Matrix: Derivative of Composite Functions
Explains the Jacobian matrix and derivative of composite functions with examples.
Convexity and Concavity: Inflection Points, Taylor Expansion, and Darboux Sums
Explores inflection points, convexity, concavity, and asymptotes in functions, with examples and applications.
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