Mathematical Foundations · Multivariable Calculus

Vector Calculus: Multivariable Functions and Differential Calculus

Public introduction · full guide in Eikos

Introduction

What this guide covers

An exhaustive and rigorous analytical treatise on Euclidean topology, scalar and vector fields, differentiability in the sense of Fréchet, gradient geometry, Hessian quadratic form analysis and Lagrange constraint optimization.

Overview

Topics covered

  • Introduction
  • Vector Calculus Multivariable Functions & Differential
  • Topology of the Euclidean Space
  • Fundamental Topological Concepts
  • Scalar Fields and Vector Fields
  • Scalar Field Geometry: Graphics and Level Sets

Related concepts

Main connections

  • Calculus & differentiation
  • Linear algebra & matrices
  • Supervised machine learning
  • Conditional probability & independence

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

⟨𝐱,𝐲⟩=𝐱⋅𝐲=∑i=1nxiyi.
View LaTeX source\left\langle \mathbf{x}, \mathbf{y} \right\rangle = \mathbf{x} \cdot \mathbf{y} = \sum_{i=1}^n x_i y_i.