Zumdahl S Chemistry An Atoms First Approach 3ed 2021

Zumdahl S Chemistry An Atoms First Approach 3ed 2021

General:

Name: Zumdahl S Chemistry An Atoms First Approach 3ed 2021
Format: pdf
Size: 137.42 MB

Book:

Title: 3P-EBK: CHEMISTRY ATOMS FIRST APPROACH
Author: Abu Mohamed Alhasan
Language: angielski
Year: 2009
Subjects: N/A
Publisher: Wydawnictwo: Wydawnictwo Naukowe Akademii Pomorskiej w Słupsku
ISBN: 9788374670548
Total pages: 1191

Description:

The thesis deals with theoretical description of the coherent interaction of polychro-matic light with multilevel atom within the hyperfine structure of the D1 transition in so-dium and rubidium atoms. Special attention is paid to the case of cold atoms. Our theoreti-cal treatment for the time evolution of the dressed atom is based entirely upon the density matrix approach. Propagating radiation fields are described by the reduced Maxwell’s field equations. Such a general formalism will enable us to reveal an enhancement of nonlinear-ity taking into account all the accessible multipoles of the density matrix. Thus we are able to show effects such as electromagnetically induced emission and the multiple light storage effect. We have exploited multiple light storage effect in order to obtain fast soliton train propagation in cold rubidium atoms. In addition, we have attempted to describe the space dependent group velocity and the delay/advancement of the light pulses. Finally, classical and quantum arrival-time distributions are discussed through the fast and slow light propa-gation in coherently prepared gaseous media. We have constrained ourselves to describe these effects in terms of the same set of equations, without approximations, while incorpo-rating homogeneous atomic relaxations. Throughout our thesis, we are motivated by the recent development in the fields of nonlinear optics and quantum information processing. Out of a variety of those modern spectroscopic techniques, we are going to mention briefly the discovery of dark resonance lines, oscillation without population inversion, coherent population trapping, electromagnetically induced transparency, electromagnetically in-duced absorption, light storage effect, slowing down of the group velocity of light, quan-tum switching effect, and three-photon electromagnetically induced transparency. These effects will assist us in controlling the group velocity of light and developing optical mem-ory devices as well as optical switches.
The thesis comprises of seven chapters. Mainly, we are interested in the coherent inter-action of light with the D1 line of alkali-atoms including the hyperfine structure. In brief, there are four dipole-allowed transitions. Chapter 1 describes stationary interaction of line-arly polarized light with sodium atom. It introduces the rotationally irreducible tensors for different ranks that are relevant to the D1 symmetry as well as its notations. Chapter 2 deals with the coherent interaction of two stationary beams as well as two pulsed fields where
the atom is described by the same basis tensors found in Chapter 1. Chapter 3 is devoted to the triple-colour excitation. Chapter 4 deals with the case when the light is amplitude or phase modulated. Chapter 5 reports a technique to produce advanced soliton train thought
a triple excitation. Chapter 6 assesses attempts to describe classical and quantum arrival-time distributions for pulsed dual-colour excitation. Finally Chapter 7 summarizes the the-sis and displays the conclusions. The thesis detailed layout is described as follows.

Gdańsk, 16th Oct. 2009

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Zuev K Fundamentals of Statistical Inference Foundations of Data Analysis 2026

Zuev K Fundamentals of Statistical Inference Foundations of Data Analysis 2026

General:

Name: Zuev K Fundamentals of Statistical Inference Foundations of Data Analysis 2026
Format: pdf
Size: 24.7 MB

Book:

Title: Fundamentals of Statistical Inference
Author: Konstantin M. Zuev;
Language: polski
Year: 9780
Subjects: N/A
Publisher: Wydawnictwo: South-West Thomson Learning
ISBN: 9780324654257
Total pages: 452

Description:

Trust the latest version of this market-leading essentials text to introduce sound statistical methodology in a proven applications setting. FUNDAMENTALS OF BUSINESS STATISTICS 5E, International Edition includes all of the strengths of the longer best-selling Anderson/Sweeney/Williams STATISTICS FOR BUSINESS AND ECONOMICS, with a focus on the most important core topics for a concise presentation that s easy for students to follow. This brief introduction to business statistics offers a wealth

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Zhu Y Computer Vision Cognitive Models for Visual Commonsense 2026

Zhu Y Computer Vision Cognitive Models for Visual Commonsense 2026

General:

Name: Zhu Y Computer Vision Cognitive Models for Visual Commonsense 2026
Format: pdf
Size: 47.66 MB

Book:

Title: Computer Vision
Author: Yixin Zhu;Song-Chun Zhu;
Language: angielski
Year: 2026
Subjects: N/A
Publisher: Springer-Verlag New York, LLC
ISBN: 9783031981074
Total pages: 585

Description:

This volume on visual commonsense reasoning, part of a comprehensive three-volume series, presents a computational framework for bridging the gap between modern computer vision capabilities and human-like visual understanding. While current AI systems excel at pattern recognition tasks, they often lack the sophisticated reasoning capabilities that humans demonstrate effortlessly in understanding and interacting with their environment. This work addresses this limitation by integrating physical, social, and abstract reasoning within a unified computational framework.

The volume is organized into three parts. The first part establishes the theoretical foundations of visual commonsense through a systematic examination of physical understanding, including affordances, intuitive physics, causality, and tool use. These components form the basis for understanding how objects and environments behave and interact. The second part delves into social reasoning aspects, exploring intent, theory of mind, and nonverbal communication – crucial capabilities for AI systems to interpret and predict human behavior. The third part investigates abstract visual reasoning, examining higher-level cognitive capabilities.

Drawing from cognitive science, computer vision, and artificial intelligence, this work:

  • Provides a systematic treatment of visual commonsense ranging from foundational theories to practical implementations
  • Introduces computational frameworks integrating multiple forms of reasoning
  • Demonstrates applications through extensive examples and case studies
  • Highlights current challenges and future directions in developing human-like visual AI

This carefully crafted volume serves as an invaluable resource for researchers, graduate students, and practitioners in computer vision, artificial intelligence, cognitive science, and related fields. It offers both theoretical insights and practical guidance for developing AI systems with more sophisticated visual understanding capabilities, moving closer to human-like visual intelligence.

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Zhang Y Essential Microelectronic Circuits A student’s guide 2ed 2025

Zhang Y Essential Microelectronic Circuits A student’s guide 2ed 2025

General:

Name: Zhang Y Essential Microelectronic Circuits A student’s guide 2ed 2025
Format: pdf
Size: 60.58 MB

Book:

Title: Essential Microelectronic Circuits (Second Edition): A student’s guide
Author: Yumin Zhang
Language: angielski
Year: 2025
Subjects: N/A
Publisher: Institute of Physics Publishing
ISBN: 9780750355124
Total pages: 230

Description:

Microelectronic circuits are often viewed as abstract and challenging, but this book makes them accessible by focusing on core principles and practical intuition rather than rote memorization. Beginning with the essentials of circuit analysis and semiconductor devices, it progresses through amplifiers, feedback, differential and operational amplifiers, and concludes with a wide range of oscillator circuits. Extensive simulations are integrated throughout, supported by diagrams, derivations, and real-world examples that connect theory to practice. Designed for both classroom instruction and self-study, the book meets the needs of undergraduate engineering students while also serving as a valuable reference for practitioners seeking a clearer, more intuitive understanding of electronic circuits.
Key features: * Serves as an introductory textbook for undergraduate microelectronics courses. * Emphasizes the underlying principles of electronic circuits to help students build strong intuition. * Demonstrates major concepts and analysis techniques, enabling students to derive equations with confidence when tackling circuits. * Integrates Multisim simulation to reduce cognitive load and enhance comprehension. * Features two new chapters on circuit analysis and oscillator design, with expanded coverage throughout.

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Zhang S Functional Analysis and Applications 2026

Zhang S Functional Analysis and Applications 2026

General:

Name: Zhang S Functional Analysis and Applications 2026
Format: pdf
Size: 7.55 MB

Book:

Title: Functional Analysis and Applications
Author: Abul Hasan Siddiqi
Language: polski
Year: 2018
Subjects: Science & Technology, Mathematics, Mathematical Analysis, Mathematical Analysis – Functional Analysis
Publisher: Springer-Verlag New York, LLC
ISBN: 9789811037252
Total pages: 410

Description:

This self-contained textbook discusses all major topics in functional analysis. Combining classical materials with new methods, it supplies numerous relevant solved examples and problems and discusses the applications of functional analysis in diverse fields. The book is unique in its scope, and a variety of applications of functional analysis and operator-theoretic methods are devoted to each area of application. Each chapter includes a set of problems, some of which are routine and elementary, and some of which are more advanced.
The book is primarily intended as a textbook for graduate and advanced undergraduate students in applied mathematics and engineering. It offers several attractive features making it ideally suited for courses on functional analysis intended to provide a basic introduction to the subject and the impact of functional analysis on applied and computational mathematics, nonlinear functional analysis and optimization. It introduces emerging topics like wavelets, Gabor system, inverse problems and application to signal and image processing.

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Zhan T Deep-Learning-Assisted Statistical Methods with Examples in R 2026

Zhan T Deep-Learning-Assisted Statistical Methods with Examples in R 2026

General:

Name: Zhan T Deep-Learning-Assisted Statistical Methods with Examples in R 2026
Format: pdf
Size: 3.34 MB

Book:

Title: Deep-Learning-Assisted Statistical Methods with Examples in R
Author: Tianyu Zhan;
Language: polski
Year: 2026
Subjects: N/A
Publisher: CRC Press
ISBN: 9781040600764
Total pages: 292

Description:

This book explores how deep learning enhances statistical methods for hypothesis testing, point estimation, optimization, interpretation, and other aspects. It uniquely demonstrates leveraging deep learning to improve traditional statistical approaches, showcasing their superior performance in practical applications. Each topic includes essential background, clear method explanations, and detailed R code demonstrations through case studies. This allows readers to directly apply these methods to their own challenges and easily adapt the underlying principles to related problems.
This book delves into statistical inference, introducing advanced strategies for hypothesis testing and point estimation. These innovative methods ingeniously combine both artificial and human intelligence, offering robust solutions for scenarios where traditional optimal analytical solutions are elusive or non-existent. A prime example of their real-world impact is in adaptive clinical trials, where these computational approaches can be readily implemented to optimize trial design and outcomes. The author further explores the multifaceted benefits of deep-learning-assisted statistical methods, extending beyond mere statistical efficiency. It highlights crucial features such as integrity protection, ensuring the trustworthiness of results; computational efficiency, enabling faster and more scalable analyses; and interpretability, which is increasingly vital for transparent communication of complex findings in modern statistics. This section encourages readers to consider a broader spectrum of improvements for new statistical methods, focusing on attributes that enhance their practical utility and societal relevance. Finally, the reader is given a critical examination of the limitations and potential concerns associated with the methods presented in earlier chapters. Crucially, it doesn’t just identify these issues but also offers constructive mitigation approaches. This equips readers with essential techniques to safeguard AI-based methodologies with their scientific expertise, ensuring responsible and valid application of these powerful computational tools in diverse scientific and practical domains.
This book is a valuable resource for students, practitioners, and researchers integrating statistics and data science techniques to solve impactful real-world problems.

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Young H , Adams P , Chastain R College Physics 10ed 2016

Young H , Adams P , Chastain R College Physics 10ed 2016

General:

Name: Young H , Adams P , Chastain R College Physics 10ed 2016
Format: pdf
Size: 33.66 MB

Book:

Title: College Physics
Author: Hugh D. Young
Language: angielski
Year: 2021
Subjects: N/A
Publisher: Wydawnictwo: W.W.Norton & Company
ISBN: 1324007141
Total pages: 1106

Description:

"Letter to a Young Female Physician" to poruszające, zabawne i osobiste studium autentyczności w pracy i życiu kobiety-lekarza.

W roku 2017 dr Suzanne Koven opublikowała esej opisujący wyzwania, z jakimi borykają się kobiety-lekarze, w tym jej własną osobistą walkę z syndromem oszusta – długotrwałym, tajnym przekonaniem, że nie jest wystarczająco mądra ani dobra, aby być prawdziwym lekarzem. Tekst ten, zatytułowany "Letter to a Young Female Physician", został przeczytany niemal 300 000 razy przez czytelników z całego świata i stał się refleksją nad jej karierą medyczną, w której kobiety wciąż borykają się z seksizmem, nierównością płacową i nękaniami. Koven opowiada fascynujące historie z okresu swojej ciąży, która przypadła na wyczerpującą rezydenturę w czasach epidemii AIDS; choroby jej syna i rodziców, w czasie której role lekarza, matki i córki splatały się ze sobą; oraz końcowego etapu jej kariery w okresie pandemii COVID-19.

"List do Młodej Lekarki" to niezapomniane świadectwo z pierwszej ręki, napisane przez lekarkę, matkę, żonę, córkę, nauczycielkę i pisarkę, które zachęca czytelników do zaakceptowania własnej nie doskonałości.

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Yan F Exploring Complex Networks with Quantum Walks 2025

Yan F Exploring Complex Networks with Quantum Walks 2025

General:

Name: Yan F Exploring Complex Networks with Quantum Walks 2025
Format: pdf
Size: 23.88 MB

Book:

Title: Exploring Complex Networks with Quantum Walks
Author: Fei Yan
Language: angielski
Year: 2025
Subjects: N/A
Publisher: CRC Press
ISBN: 9781041153849
Total pages: 211

Description:

This book explores the intersection of quantum computing and network science. It bridges the theoretical foundations of quantum walk algorithms with their applications in the structural exploration and representation learning of complex networks.
Quantum walks, a technology that is pivotal to universal quantum computational models, examines the movement of particles on a graph composed of nodes and links. Quantum superposition enables these particles to traverse these graphs more quickly, while measurement-induced collapse introduces fluctuations, making the identification of critical nodes challenging yet intriguing. At its core, the book explores how quantum walk algorithms can transform the structural and representational analysis of complex networks. It begins by introducing the fundamental concepts of quantum computing and quantum walks, including generalized definitions and the properties of low-dimensional quantum walks. Then, it discusses the implementation of discrete- and continuous-time quantum walks for mining network nodes, links, and subgraphs, as well as their use in network representation learning and graph neural networks.
The book will serve as a valuable reference for researchers, students, and educators interested in quantum walks, complex networks, quantum mechanics, and information engineering.

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Yadava R Advanced Engineering Mathematics 4ed 2016

Yadava R Advanced Engineering Mathematics 4ed 2016

General:

Name: Yadava R Advanced Engineering Mathematics 4ed 2016
Format: pdf
Size: 5.71 MB

Book:

Title: Microsoft Word – Chapter 1
Author: Administrator
Language: angielski
Year: 2009
Subjects: Science & Technology, Reference, Study Aids & Test Prep, Engineering, Engineering – General & Miscellaneous, Mathematics, School Guides & Test Preparation, Engineering – Mathematics & Design, Mathematics – Applied, Mathematics – General & Miscellaneous, Study Guides – General & Miscellaneous
Publisher: McGraw Hill LLC
ISBN: 9780071702423
Total pages: 747

Description:

Tough Test Questions? Missed Lectures? Not Enough Time?
Fortunately for you, there’s Schaum’s.
More than 40 million students have trusted Schaum’s Outlines to help them succeed in the classroom and on exams. Schaum’s is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.
This Schaum’s Outline gives you:

  • Practice problems with full explanations that reinforce knowledge
  • Coverage of the most up-to-date developments in your course field
  • In-depth review of practices and applications

Fully compatible with your classroom text, Schaum’s highlights all the important facts you need to know. Use Schaum’s to shorten your study time-and get your best test scores!
Schaum’s Outlines-Problem Solved.

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Xiong M Mathematical Foundations of Artificial Intelligence 2026

Xiong M Mathematical Foundations of Artificial Intelligence 2026

General:

Name: Xiong M Mathematical Foundations of Artificial Intelligence 2026
Format: pdf
Size: 25.08 MB

Book:

Title: Mathematical Foundations of Artificial Intelligence
Author: Momiao Xiong;
Language: angielski
Year: 2026
Subjects: N/A
Publisher: CRC Press
ISBN: 9781040615096
Total pages: 384

Description:

Mathematical Foundations of Artificial Intelligence: Basics of Manifold Theory is the first volume in a two‑part series. Together, they establish a unifying mathematical framework based on smooth manifold theory and Riemannian geometry・essential tools for representing, analyzing, and integrating the growing complexity of modern artificial intelligence (AI) systems and scientific models.
Differential geometry now plays a central role across AI, biology, physics, and medicine. From deep learning, generative modeling, and manifold learning to reasoning algorithms and physical AI, manifolds offer a coherent geometric language that bridges theory and practice. This volume introduces key concepts・topological and smooth manifolds, Riemannian metrics, differential forms, Lie derivatives, and statistical geometry・alongside illustrative applications to data science, genomics, drug discovery, and AI‑driven systems.
Unlike traditional texts, this book combines rigor with intuition, integrating formal theory, computational methods, and interdisciplinary insights, and is ideal for graduate students and professionals in mathematics, statistics, computer science, AI, physics, bioinformatics, and biomedical sciences. It also serves as a foundational reference for researchers developing AI systems grounded in geometry, scientific modeling, and data‑driven discovery.
Key Features
• Unifies core manifold concepts to support integrated thinking across disciplines
• Treats manifolds as natural geometric domains for data representation in AI and the sciences
• Bridges abstract theory with practical algorithms and real‑world applications
• Develops Lie derivative aware graphical neural networks for adaptive‑AI and molecular property prediction
• Develops Lie derivative enhanced reaction‑diffusion equations for disease gene identification and treatment design
• Develops probabilistic modeling and information geometry for modern learning systems
• Applies geometric insight to AI fields, including generative models, graph learning, and reasoning
• Applies the Gauss map and Chen-Gauss-Bonnet theorem to physical AI incorporating geometric constraints for robotics and tumor cell location and range identification
• Features step‑by‑step examples, case studies, and visual explanations to support understanding
• Serves as an advanced educational and skill‑building resource in the age of AI, leveraging the capabilities of emerging AI tools for automatic programming and self‑study

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