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derivatives

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Model Perspective
Model Perspective
Aug 28, 2024 · Fundamentals

Why Calculus Matters: From Static Geometry to Dynamic Change

Calculus, the dynamic mathematics of infinitesimals, emerged to solve problems like instantaneous velocity, tangent slopes, and areas under curves, transforming static algebra and geometry into tools for analyzing continuous change, as illustrated by examples of expanding squares, sphere volumes, and tidal movements.

calculusderivativesinfinitesimals
0 likes · 8 min read
Why Calculus Matters: From Static Geometry to Dynamic Change
Model Perspective
Model Perspective
Nov 10, 2022 · Fundamentals

Top Calculus Articles: Functions, Derivatives, Integrals & Multivariable Insights

This article compiles a comprehensive list of previously published WeChat posts from the “Model Perspective” series covering core calculus topics such as single‑variable functions, derivatives, integrals, and multivariable calculus, providing readers with quick access to each detailed tutorial.

calculusderivativesintegrals
0 likes · 4 min read
Top Calculus Articles: Functions, Derivatives, Integrals & Multivariable Insights
Model Perspective
Model Perspective
Oct 6, 2022 · Artificial Intelligence

Mastering the Chain Rule for Vector‑to‑Vector and Scalar‑to‑Matrix Derivatives

This article explains the chain rule for vector‑to‑vector derivatives, scalar‑to‑multiple‑vector and scalar‑to‑matrix cases, illustrates how to handle dimensional compatibility, provides concrete examples such as least‑squares optimization, and summarizes four key matrix‑vector derivative conclusions for efficient machine‑learning calculations.

chain rulederivativesmachine learning
0 likes · 5 min read
Mastering the Chain Rule for Vector‑to‑Vector and Scalar‑to‑Matrix Derivatives
Model Perspective
Model Perspective
Oct 4, 2022 · Fundamentals

Unlocking Matrix Differential Calculus: A Practical Guide to Trace‑Based Derivatives

This article introduces matrix differential calculus, explains its relationship to scalar and vector differentials, outlines key properties such as addition, multiplication, transpose, trace and determinant rules, and demonstrates how to compute matrix‑vector derivatives using trace tricks.

Tracederivativesdifferential
0 likes · 6 min read
Unlocking Matrix Differential Calculus: A Practical Guide to Trace‑Based Derivatives
Model Perspective
Model Perspective
Aug 12, 2022 · Fundamentals

Comprehensive Calculus Resource Guide: From Limits to Multivariable Integration

This article compiles a series of WeChat posts covering calculus fundamentals—including limits, derivatives, integration techniques, gradient descent, and multivariable concepts—providing direct links to each detailed tutorial for learners to explore.

Integrationcalculusderivatives
0 likes · 2 min read
Comprehensive Calculus Resource Guide: From Limits to Multivariable Integration
Model Perspective
Model Perspective
Jul 9, 2022 · Fundamentals

Unlocking the Power of the Fundamental Theorem of Calculus

This article explains how the Fundamental Theorem of Calculus bridges derivatives and integrals, provides a straightforward method for evaluating integrals via antiderivatives, illustrates the concept with telescopic sums, and walks through several concrete examples to demonstrate its practical use.

Integrationcalculusderivatives
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Unlocking the Power of the Fundamental Theorem of Calculus
Model Perspective
Model Perspective
May 20, 2022 · Fundamentals

How to Find Global and Local Optima Using Derivatives: A Step-by-Step Guide

This article explains how derivatives can be used to locate global and local minima or maxima, defines critical points—including saddle points—and demonstrates the process with quadratic and cubic function examples, illustrating each concept with clear diagrams.

Optimizationcalculuscritical points
0 likes · 4 min read
How to Find Global and Local Optima Using Derivatives: A Step-by-Step Guide
Model Perspective
Model Perspective
May 20, 2022 · Fundamentals

Master Derivative Rules: Sum, Product, and Chain Rule Made Simple

This article explains how to differentiate sums, differences, and products of functions, introduces function composition, and derives the chain rule, providing proofs and clear examples to help readers master fundamental calculus differentiation techniques.

calculuschain rulederivatives
0 likes · 2 min read
Master Derivative Rules: Sum, Product, and Chain Rule Made Simple
Model Perspective
Model Perspective
May 11, 2022 · Fundamentals

Mastering Derivatives: Sum, Difference, Product, and Chain Rule Explained

Explore the core differentiation rules—including the sum, difference, and product rules—followed by functional composition and the chain rule, with clear derivations and proofs that build on basic calculus concepts to help you differentiate complex functions confidently.

calculuschain rulederivatives
0 likes · 3 min read
Mastering Derivatives: Sum, Difference, Product, and Chain Rule Explained
Model Perspective
Model Perspective
May 11, 2022 · Fundamentals

How Derivatives Find Global and Local Optima (Minima & Maxima)

This article explains how to use derivatives to locate a function’s global and local minimum or maximum points, defines critical points, distinguishes between global and local extrema, and demonstrates the process with quadratic and cubic examples illustrated by diagrams.

Optimizationcalculuscritical points
0 likes · 4 min read
How Derivatives Find Global and Local Optima (Minima & Maxima)
Python Programming Learning Circle
Python Programming Learning Circle
Mar 14, 2020 · Fundamentals

Chain Rule for Composite Functions: Single‑ and Multi‑Variable Cases

This article explains the chain rule for composite functions, covering both single‑variable and multi‑variable scenarios, illustrating how derivatives of nested functions are computed and how the rule applies to common machine‑learning expressions such as the sigmoid of a linear combination.

calculuschain rulecomposite functions
0 likes · 4 min read
Chain Rule for Composite Functions: Single‑ and Multi‑Variable Cases
Python Programming Learning Circle
Python Programming Learning Circle
Mar 12, 2020 · Fundamentals

Fundamentals of Derivatives and Partial Derivatives for Neural Networks

This article introduces the mathematical foundations of derivatives and partial derivatives, explains their role in optimizing neural network parameters, covers basic derivative formulas, linear properties, sigmoid derivative, minimum conditions, and constrained optimization using Lagrange multipliers, providing a comprehensive guide for machine‑learning practitioners.

Optimizationcalculusderivatives
0 likes · 8 min read
Fundamentals of Derivatives and Partial Derivatives for Neural Networks