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MATLAB R2024a v24.1.0.2537033 x64 [Size: 12.375 GB] ... The company MathWorks is the most complete software computing computer production in … program main the company that, in fact, come, it is software MATLAB (stands for Matrix Laboratory and able laboratories, matrix), which is one of the most advanced software numerical calculations, and mathematical and a programming language, advanced, and fourth-generation and it is possible to visualize and draw the functions and data it provides. Icon and sign MATLAB that with the manufacturer’s logo is also identical from the wave equation, etc. of the membrane in L-shape and the Special Functions is extracted. Competitors of MATLAB can be used to Mathematica, etc. Maple and Mathcad noted.

Facilities and features of the software MathWorks MATLAB: – Perform a variety of calculations, heavy and complicated math – Development environment for managing code, files and data – Discover the methods to faster reach a solution – A variety of mathematical functions for linear algebra, etc. statistics. analysis, February,, optimization, etc. filtering, etc. old style numeric and… – Draw functions of the graphics were two-dimensional and three-dimensional visualization information – Design and build user interfaces under the programming languages C++, C or Java – Ability to test and measure the exact functions and charts – Possibility of signal processing, communications, image and video – Is there a box of tools from various companies, engineering, navigation, applications monitoring, such as telecommunications, control, fuzzy, etc. estimate the … statistics. gathering data, simulation system, neural network, etc. probability and… – Ability to biological computing ...

Krzysztof Schabowicz ... 576 pages - Language: ‎English - Publisher: Mdpi AG; (July, 2023) - ISBN-10: 3036578889 - ISBN-13: 978-3036578880.


This book was proposed and organized as a means to present recent developments in the field of testing of materials and elements in civil engineering. For this reason, the articles highlighted in this editorial relate to different aspects of this topic, from building materials to building structures. The current trend in the development of materials testing in civil engineering is mainly concerned with the detection of flaws and defects in elements and structures using destructive, semidestructive, and nondestructive testing.

Volume 1 + Volume 2

Marco Guerrieri ... 276 pages - Language: ‎English - Publisher: Springer; (February 15, 2024).


This textbook examines key railway engineering topics useful for railway design and control. Conventional railways are considered together with high-speed railways, tramways, metros, maglev and hyperloop systems, people movers, monorails and rack railways. Every system of transport is described in its basic technical characteristics, especially in terms of transportation system capacity, alignment design criteria and construction costs. It is an introductory book to specific topics of the railway engineering field, and thus, the mathematical treatment is purposely brief and simplified. The book is an ideal learning resource for students of civil engineering, as well as a valuable reference for practicing engineers involved with railway designs.

Rakesh K. Jain, Prashant Shantaram Dhotre, Deepak Tatyasaheb Mane, Parikshit Narendra Mahalle - 251 pages - Language: ‎English - Publisher: ‎CRC Press; (May, 2023).


This book explains use of data science-based techniques for modeling and providing optimal solutions to complex problems in civil engineering. It discusses civil engineering problems like air, water and land pollution, climate crisis, transportation infrastructures, traffic and travel modes, mobility services, and so forth. Divided into two sections, the first one deals with the basics of data science and essential mathematics while the second section covers pertinent applications in structural and environmental engineering, construction management, and transportation.

Features: Details information on essential mathematics required to implement civil engineering applications using data science techniques. + Discusses broad background of data science and its fundamentals. + Focusses on structural engineering, transportation systems, water resource management, geomatics, and environmental engineering. + Includes python programming libraries to solve complex problems. + Addresses various real-world applications of data science based civil engineering use cases.

This book aims at senior undergraduate students in Civil Engineering and Applied Data Science.

Warren Viessman Jr., Gary L. Lewis ... 612 pages - Publisher: Pearson; 5th edition (October, 2002) - Language: English - ISBN-10: 067399337X - ISBN-13: 978-0673993373.

This book systematically covers underlying principles of hydrology in chapters 1 - 10 and then delves deeper into the application of these principles to practical problems in the field throughout the remainder of the prose. Covers all aspects of the hydrologic cycle, and the manner in which they may be modified to deal with floods, droughts, potable water supply and urban drainage. For anyone who expect to become involved in programs that are concerned with the development, management and protection of water resources.

From the Back Cover: For the fifth edition, Introduction to Hydrology has been significantly revamped and restructured, offering the reader content that is focused and streamlined. Many graduate level subjects and topics that were considered to be more of a handbook variety have been eliminated, in keeping with the original philosophy of the book, which was to focus on providing a scope of material that would support a theory-to-practice learning experience for beginning students in hydrology. The sequencing of chapters is designed to lead students through the underlying principles of hydrology and then to introduce them to the world of applications.

Notable changes in this fifth edition include: The restructured and streamlined fifth edition consists of 13 chapters, whereas the fourth edition consisted of 27 chapters. + The chapter on statistics has been moved to an early position in the book so as to introduce these techniques before they are applied to problems in later chapters. + There are many new solved examples and homework problems. + Web addresses useful for securing hydrologic data and relevant information to supplement the text have been added.

EnSoft Suite 2024.03 [Size: 801 MB]: Developing and applying software solutions to complex engineering problems ... LPILE - Analyze response of piles and shafts in multi-layered soil media. + APILE - Analyze the axial capacity of driven piles in mutli-layered soils. + GROUP - Analyze response of pile groups in multi-layered soil media. + PYWall - Analyze flexible retaining walls in layered soils. + SHAFT - Study the response of drilled shafts under axial loading. + TZPILE - Analyze load-settlement relationships of vertically loaded piles with downdrag. + EnFEM - 2D finite element analysis with ability to perform soil-structure interaction and stage construction. + EnCPT - Process raw CPT data, generating and exporting soil layering and properties to LPILE. + DynaN - Determine the dynamic response of shallow and deep foundations. + DynaPile - Analyze the dynamic response of pile groups in horizontally layered elastic media. + DynaMat - Analyze the dynamic response of mat foundations under dynamic loading. + GeoMat - Analyze mat or structural slabs supported on soil media. + SETOFF - Software for computing foundation settlement. + STABLPRO - Software for computing the slope stability.

Contents: APILE 2023.10.5, APILE Offshore 2023.10.5, DynaMat 2018.3.2, DYNA-N v3.0.15, DynaPile 2016.3.2, EnCPT 2019.1.5, EnFEM 2019.1.1, GeoMat 2022.3.1, Group 2022.12.6, LPile 2022.12.10, PYWall 2022.7.7, SETOFF 2020.4.3, SHAFT 2023.9.3, StablPro 2015.4.5, TZPILE 2021.4.3.

Kameron Hussain; Frahaan Hussain ... 220 pages - Publisher: Independently Published; (January, 2024) - Language: English.


Dive into the world of MATLAB with "Mastering MATLAB: A Comprehensive Journey Through Coding and Analysis," a definitive guide designed for both beginners and experienced users. This book serves as an invaluable resource for engineers, scientists, and anyone interested in harnessing the power of MATLAB for numerical computation, data analysis, and algorithm development. Starting with the basics, the book introduces you to the MATLAB environment, guiding you through its user-friendly interface and powerful tools. You'll learn to write clean, efficient MATLAB code, with a focus on understanding syntax, functions, and the extensive libraries available. Each chapter builds upon the last, ensuring a gradual and solid grasp of concepts.

"Mastering MATLAB" is more than just a programming guide; it's a practical handbook for real-world applications. Delve into chapters dedicated to data visualization, matrix manipulations, and statistical analysis, all crucial for data-driven projects. You'll encounter detailed examples and exercises that demonstrate how MATLAB can solve complex problems in engineering, science, and mathematics. For advanced readers, the book delves into sophisticated topics such as GUI development, machine learning applications, and integrating MATLAB with other programming languages. This section is particularly beneficial for professionals seeking to elevate their coding prowess and integrate MATLAB into their workflow for more efficient problem-solving and research.

Every concept is explained in-depth, accompanied by illustrative examples, making complex ideas accessible. Whether you're a student needing a comprehensive academic resource, a professional aiming to enhance your technical skillset, or a hobbyist eager to explore computational mathematics, "Mastering MATLAB" is your go-to guide. Embrace the journey of mastering MATLAB and unlock a world of possibilities in coding and analysis.

Patanjali Kashyap ... 674 pages - Language: ‎English - Publisher: ‎Apress; 2nd edition (December, 2023).

This new and updated edition takes you through the details of machine learning to give you an understanding of cognitive computing, IoT, big data, AI, quantum computing, and more. The book explains how machine learning techniques are used to solve fundamental and complex societal and industry problems.This second edition builds upon the foundation of the first book, revises all of the chapters, and updates the research, case studies, and practical examples to bring the book up to date with changes that have occurred in machine learning. A new chapter on quantum computers and machine learning is included to prepare you for future challenges. Insights for decision makers will help you understand machine learning and associated technologies and make efficient, reliable, smart, and efficient business decisions. All aspects of machine learning are covered, ranging from algorithms to industry applications. Wherever possible, required practical guidelines and best practices related to machine learning and associated technologies are discussed. Also covered in this edition are hot-button topics such as ChatGPT, superposition, quantum machine learning, and reinforcement learning from human feedback (RLHF) technology. Upon completing this book, you will understand machine learning, IoT, and cognitive computing and be prepared to cope with future challenges related to machine learning.

What You Will Learn? Master the essentials of machine learning, AI, cloud, and the cognitive computing technology stack + Understand business and enterprise decision-making using machine learning + Become familiar with machine learning best practices + Gain knowledge of quantum computing and quantum machine learning.

Santo Banerjee, A. Gowrisankar, Komandla Mahipal Reddy ... 100 pages - Language:‎ English - Publisher: ‎Springer; (January, 2024).

This book presents the iterative beauty of fractals and fractal functions graphically with the aid of MATLAB programming. The fractal images generated using the MATLAB codes provide visual delight and highly encourage the fractal lovers for creative thinking. The book compiles five cutting-edge research chapters, each with state-of-the art fractal illustrations. It starts with the fundamental theory for the construction of fractal sets via the deterministic iteration algorithm. Incorporating the theoretical base, fractal illustrations of elementary fractal sets are provided with the explicit MATLAB code. The book gives examples of MATLAB codes to present the fractal surfaces.

This book is contributed to all the research beginners as well as the professionals on the field of fractal analysis. As it covers basic fractals like Sierpinski triangle to advanced fractal functions with explicit MATLAB code, the presented fractal illustrations hopefully benefit even the non-field readers. The book is a useful course to all the research beginners on the fractal and fractal-related fields.

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