English | 2022 | ISBN: 1470465655, 978-1470465650 | 456 pages | True PDF | 22.73 MB
The book introduces complex analysis as a natural extension of the calculus of real-valued functions. The mechanism for doing so is the extension theorem, which states that any real analytic function extends to an analytic function defined in a region of the complex plane. The connection to real functions and calculus is then natural. The introduction to analytic functions feels intuitive and their fundamental properties are covered quickly. As a result, the book allows a surprisingly large coverage of the classical analysis topics of analytic and meromorphic functions, harmonic functions, contour integrals and series representations, conformal maps, and the Dirichlet problem. It also introduces several more advanced notions, including the Riemann hypothesis and operator theory, in a manner accessible to undergraduates. The last chapter describes bounded linear operators on Hilbert and Banach spaces, including the spectral theory of compact operators, in a way that also provides an excellent review of important topics in linear algebra and provides a pathway to undergraduate research topics in analysis.
The book allows flexible use in a single semester, full-year, or capstone course in complex analysis. Prerequisites can range from only multivariate calculus to a transition course or to linear algebra or real analysis. There are over one thousand exercises of a variety of types and levels. Every chapter contains an essay describing a part of the history of the subject and at least one connected collection of exercises that together comprise a project-level exploration.

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 779 MB | Duration: 2h 4m
Fundamentals of code using Python. Nifty Tools & Functions Step by Step Basic Coding Practical for Beginner level Guide

Excel Formulas & Functions For Dummies (For Dummies (Computer/Tech)) by For Dummies
English | December 3, 2021 | ISBN: 1119839114 | 416 pages | MOBI | 10 Mb

Operator Functions and Localization of Spectra by Michael I. Gil'
English | PDF | 2003 | 261 Pages | ISBN : 3540202463 | 3.2 MB
"Operator Functions and Localization of Spectra" is the first book that presents a systematic exposition of bounds for the spectra of various linear nonself-adjoint operators in a Hilbert space, having discrete and continuous spectra. In particular bounds for the spectra of integral, differential and integro-differential operators, as well as finite and infinite matrices are established. The volume also presents a systematic exposition of estimates for norms of operator-valued functions and their applications.

Modular Functions and Dirichlet Series in Number Theory by Tom M. Apostol
English | PDF | 1976 | 207 Pages | ISBN : 038790185X | 13 MB
This is the second volume of a 2-volume textbook* which evolved from a course (Mathematics 160) offered at the California Institute of Technology du ring the last 25 years. The second volume presupposes a background in number theory com parable to that provided in the first volume, together with a knowledge of the basic concepts of complex analysis.

Mathematical Analysis: An Introduction to Functions of Several Variables by Mariano Giaquinta
English | PDF | 2009 | 356 Pages | ISBN : 0817645098 | 4.1 MB
Mathematical Analysis: An Introduction to Functions of Several Variables may be used in the classroom setting for advanced undergraduate and graduate students or as a self-study. It is also a valuable reference for researchers in most mathematical disciplines. An appendix highlights mathematicians and scientists who have made important contributions in the development of theories in the subject.

Prateek Parekh | Duration: 0h 48m | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 74 MB | Language: English
javascript is the most commonly used programming language and functions are one of the fundamental building blocks in javascript. The skills you learn in this course will help you learn other javascript frameworks such as React and Node.js.
Code is hard to maintain, especially when you keep adding new features to your project over several months and years. If you are not careful, you can end up with spaghetti code where several parts of the project are essentially doing the same task and any change in one feature can cause changes in several other parts of the code. In this course, javascript: Functions, you'll learn the foundational knowledge to write modular code that not only prevents duplication, but also increases code readability and maintainability. First, you'll explore what Functions are and how to write them. Next, you'll discover the power of Arrow Functions in improving readability. Finally, you'll gain the ability to use additional language features that come with javascript out-of-the-box to write applications with multiple functions interacting with each other. When you're finished with this course, you'll have the skills and knowledge of Functions needed to write modular, re-usable, and concise code in javascript.

Duration: 1h 13m | Video: .MP4, 1280x720, 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 433 MB
Genre: eLearning | Language: English
In today's world, it's an absolute must that you know Microsoft Excel for most office jobs. There's some formulas and functions that will make your use of Excel more productive . This course shows you how to use 25 "Must-Know" formulas and functions.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 35m | Size: 202 MB
Did you know that you can use SAP to improve materials planning and better manage project operations? This course leads you on a deeper dive into how to configure and implement SAP material requirements planning (MRP) to deliver smoother, more effective results.

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 13 Lessons (34h) | Size: 100.5 MB
Defining your own functions is an essential skill for writing clean and effective code. In this tutorial, you'll explore the techniques you have available for defining Python functions that take optional arguments. When you master Python optional arguments, you'll be able to define functions that are more powerful and more flexible.