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Convolution Product and Radioactive Decay
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Related lectures (38)
Products and Convolution of Transforms
Covers the definition and properties of convolution of two functions and explores radioactive material decay rates.
Differentiating under the integral sign
Explores differentiating under the integral sign and continuity of functions in integrals.
Trigonometric, Logarithmic and Exponential Functions: Teaser
Explores fundamental special functions with applications in various fields.
Continuity: Examples and Definitions
Covers the concept of continuity, providing examples and definitions of continuous functions.
Differentiating under the integral sign
Explores differentiating under the integral sign and conditions for differentiation, with examples and extensions to functions on open intervals.
Understanding Microcontrollers: Functions
Introduces the fundamentals of functions in microcontroller programming, emphasizing naming rules and step-by-step development.
Definitions and Notations
MOOC: Analysis I (part 1): Prelude, basic concepts, real numbers
MOOC: Analysis I
Covers the definitions and notations related to functions.
Convexity Criteria
MOOC: Analysis I
MOOC: Analysis I (part 6) : Study of functions, limited developments
Covers the study of functions, focusing on convexity criteria within closed subintervals.
Isomorphism Criterion of Coverings
Covers the isomorphism of coverings and the lifting theory.
Advanced Analysis I: Cauchy-Schwarz Inequality
Explores the Cauchy-Schwarz inequality in integrals and functions, offering a comprehensive understanding of its applications.
Algorithms & Growth of Functions
Covers optimization algorithms, stable matching, and Big-O notation for algorithm efficiency.
R Programming: Conditions, Loops, Functions & Graphics
Covers conditions, loops, functions, and graphics in R programming with practical examples.
Entropy and the Second Law of Thermodynamics
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Covers entropy, its definition, and its implications in thermodynamics.
Real Functions: Definitions and Properties
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Explores real functions, covering parity, periodicity, and polynomial functions.
Functions and Periodicity
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Covers functions, including even and odd functions, periodicity, and function operations.
Functions: Differentials, Taylor Expansions, Integrals
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Covers functions, differentiability, Taylor expansions, and integrals, providing fundamental concepts and practical applications.
Fourier Series: Extension and Periodicity
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Covers the extension and periodicity of Fourier series and the interpretation of coefficients.
Theorems in Analysis
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Covers the Meyers-Serrin theorem in analysis, discussing the conditions for functions in different spaces.
Distribution & Interpolation Spaces
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Explores distribution and interpolation spaces, showcasing their importance in mathematical analysis and the computations involved.
Partial Derivatives: Definitions and Examples
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Covers the concept of partial derivatives and their applications in mathematical analysis.
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