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Advanced Matplotlib Functions and Scalar Fields
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Related lectures (38)
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Derivatives: Definition and Properties
Explores the definition and properties of derivatives, including slopes of tangent lines and differentiability conditions.
Tangent to Graph of a Function
Explores finding the equation of the tangent line to a function's graph at a point.
Geometrical Aspects of Differential Operators
Explores differential operators, regular curves, norms, and injective functions, addressing questions on curves' properties, norms, simplicity, and injectivity.
Derivative of a Product of Functions
MOOC: Warm-up for EPFL
Explores the derivative of a product of functions and discusses algebraic products and scalar products of functions.
Linear Approximation and Derivative Parametric
Covers linear approximation, parametric derivatives, and differentiability conditions on intervals.
Parametric Curves - Introduction
Introduces parametric curves and discusses tangent vectors and symmetry properties.
Directional Derivatives
Explores directional derivatives, their calculation, examples, and cases of lack of continuity.
Numerical Optimization with Scipy
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Introduces numerical optimization with Scipy, covering zero finding, problem dimensionality, derivatives, and advanced visualization techniques.
Connections: motivation and definition
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Explores the definition of connections for smooth vector fields on manifolds.
Gradient: Scalar Field
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Explores gradient in scalar fields, directional derivatives, and level sets.
Differentiability of Functions of Several Variables
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Covers the differentiability of functions of multiple variables and the significance of directional derivatives and gradients.
Differentiation and Coordinate Changes in Multivariable Functions
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Discusses differentiation of multivariable functions and coordinate transformations, including polar and cylindrical coordinates, along with the Laplacian operator and its applications.
Differentiable Functions in R²
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Explores differentiable functions in R², including vector fields and coordinate transformations.
Differential Calculus: Definition and Derivability
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Explores the definition and derivability of functions in differential calculus, emphasizing differentiability at specific points.
Curl of Vector Field and Path Integrals
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Explores the curl of a vector field and the calculation of path integrals in Cartesian coordinates.
Functions of LR: Differentiability
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Explains differentiability in LR functions and introduces the Jacobian matrix.
Divergence Examples
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Explores examples of divergence in vector fields and their physical meanings.
Functions and Coordinate Changes
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Explores bijective functions, coordinate transformations, and graphical representations in two dimensions.
Differential Operators: Notation and Terminology
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Covers the basics of differential operators and derivatives for n-tuples and vector fields.
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