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Related lectures (29)
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Partial and Total Derivatives
Covers partial and total derivatives, differentials, and temporal derivatives in functions with multiple variables.
Derivable Functions: Partial Derivatives and Jacobian Matrix
Covers derivable functions, partial derivatives, Jacobian matrix, and rule of composition.
Differential Functions: Derivability and Gradient
Explores differentiability in functions and the role of gradients in directional derivatives.
Functions of Class C^p
Explores functions of class C^p, emphasizing continuity and differentiability properties.
Differentiability in Analysis
Explores differentiability in analysis, discussing conditions for functions to be differentiable and continuous.
Multivariable Functions: Partial Derivatives and Exact Differentials
Explores expressing oscillations as functions of time and discusses exact differentials in thermodynamics.
Partial Derivatives: Gradient and Theorem of Mean Value
Introduces the gradient concept and the Theorem of Mean Value for functions in several variables.
Methods of Demonstrations: Recurrence and Differential Calculus
Covers methods of demonstrations and differential calculus of functions of several variables.
Thermodynamics: Principles and Applications
Provides an overview of thermodynamic principles, focusing on the first principle and its applications in various systems.
Linear Properties of Gradients
Explores the linear properties of gradients and the importance of understanding scalar products and Jacobian matrices.