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Nordwestpassage: Meine Polarfahrt auf der Gjöa (Edition Erdmann)
Deutsch | 29 Jun. 2012 | ASIN: B008H2ALTI | 293 Seiten | EPUB (True) | 2.59 MB
Vor Amundsen scheiterten schon viele bedeutende Entdecker bei dem Versuch, einen Seeweg durch das eisige Labyrinth der arktischen Inseln im Norden Amerikas zu finden, so etwa Sebastian Cabot, James Cook und John Franklin. Doch das Verhängnis seiner Vorgänger beflügelte den jungen Norweger und ihre Fehler dienten ihm als Inspiration. 1903 erwirbt Amundsen den Fischkutter "Gjöa", stellt eine Expedition zusammen und wagt das scheinbar Unmögliche. Drei Jahre sollte die Reise durch die unkartierten Wasserstraßen dauern, bis Amundsen endlich das ihm durch die Beringstraße entgegenkommende Walfangschiff Charles Hanson sichtet. Nun hat der Norweger die endgültige Gewissheit, als erster Mensch in der Geschichte die Nordwestpassage durchquert zu haben.

Nonthermal Light-Based Technologies in Food Processing by C. K. Sunil, Megh R. Goyal, Preeti Birwal
English | February 10, 2025 | ISBN: 1774917505 | 488 pages | MOBI | 8.85 Mb
Food preservation has existed since time immemorial with techniques that focused on prolonging shelf-life of food products. The current challenge, though, is to preserve food in terms of loss of nutrients, texture, and sensorial characteristics along with prolonging its shelf-life. This new volume, Nonthermal Light-Based Technologies in Food Processing, explores and provides in-depth knowledge and understanding of current and emerging light-based technologies and their application in food processing. This book also introduces the role of nonthermal technology for novel food product development.

Nonprofit Law for Religious Organizations: Essential Questions & Answers By Bruce R. Hopkins, David Middlebrook
2008 | 350 Pages | ISBN: 0470114401 | PDF | 2 MB
Nonprofit Law for Religious Organizations: Essential Questions & Answers is a hands-on guide to the most pertinent and critical legal issues facing those who lead and manage religious tax-exempt organizations with an emphasis on tax, employment, property and constitutional law. This timely book is a response to the need for guidance, direction, and clarification of legal and tax laws affecting churches and other religious organizations.

Nonparametric Bayesian Inference: Contributions by Jean-Marie Rolin by Jean-Pierre Florens, Michel Mouchart
English | October 22, 2024 | ISBN: 3031613287 | 389 pages | MOBI | 63 Mb
This book is a compilation of unpublished papers written by Jean-Marie Rolin (with several co-authors) on nonparametric bayesian estimation. Jean-Marie was professor of statistics at University of Louvain and died on November 5th, 2018. He made important contributions in mathematical statistics with applications to different fields like econometrics or biometrics.These papers cover a variety of topics, including:

Nonlinear Theory of Elasticity: Applications in Biomechanics By Larry Alan Taber
2004 | 416 Pages | ISBN: 9812387358 | PDF | 12 MB
Soft biological tissues often undergo large elastic (or nearly elastic) deformations that can be analyzed using the nonlinear theory of elasticity. Because of the varied approaches to nonlinear elasticity in the literature, some aspects of the subject may be difficult to appreciate. This book attempts to clarify and unify those treatments, illustrating the advantages and disadvantages of each through various examples in the mechanics of soft tissues. Applications include muscle, arteries, the heart, embryonic tissues, and biological membranes.

Steven H. Strogatz, "Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering, Second Edition "
English | ISBN: 0813349109 | 2014 | 532 pages | AZW3 | 74 MB
This textbook is aimed at newcomers to nonlinear dynamics and chaos, especially students taking a first course in the subject. The presentation stresses analytical methods, concrete examples, and geometric intuition. The theory is developed systematically, starting with first-order differential equations and their bifurcations, followed by phase plane analysis, limit cycles and their bifurcations, and culminating with the Lorenz equations, chaos, iterated maps, period doubling, renormalization, fractals, and strange attractors.

Nonlinear Dynamics and Chaos Theory in Artificial Intelligence VOL-2 (AI AND MATH NEW)
English | 3 Dec. 2025 | ASIN: B0G4WLT693 | 315 pages | Epub | 322.62 KB
Artificial Intelligence today stands at the intersection of mathematical intelligence, biological inspiration, and computational creativity. From neural networks that mimic the firing patterns of the human brain to autonomous systems that adapt to complex and uncertain environments, AI has rapidly moved beyond simple rule-based mechanisms and linear modeling. One of the most powerful, yet least understood, mathematical pillars enabling modern AI systems is the field of Nonlinear Dynamics and Chaos Theory . While traditional machine learning relies heavily on linear algebra, convex optimization, and statistical inference, real-world intelligent systems-brains, weather, ecosystems, robotics, biological learning, financial markets-do not behave linearly. They evolve irregularly, oscillate unpredictably, and adapt through patterns that appear chaotic on the surface but follow deeper hidden rules underneath. This book brings together these fascinating concepts of chaos, fractals, nonlinear systems, and complexity and shows how they shape the next generation of Artificial Intelligence. Written by Anshuman Mishra , this book is designed to be an authoritative, research-oriented, and practice-driven reference for students, scholars, researchers, AI professionals, data scientists, roboticists, and mathematicians . It provides a deeply structured, step-by-step, and rigorously explained view of the nonlinear mathematical phenomena that govern intelligent adaptive systems. ⭐ Why This Book is Unique Artificial Intelligence has matured rapidly in recent years, yet many AI professionals struggle to understand why models behave unpredictably, diverge during training, exhibit sudden performance jumps, or settle into oscillatory patterns. These behaviors are not random-they stem from nonlinear interactions within neural networks, optimization algorithms, and dynamic learning systems. This book systematically explores these nonlinearities and connects them with powerful mathematical foundations such as: Deterministic chaos Bifurcations Strange attractors Fractals Nonlinear differential equations Complexity and emergence Chaotic search and optimization Nonlinear learning architectures Chaotic neural networks Chaotic reinforcement learning Chaos-based feature engineering Chaotic cryptography and modeling Most AI books focus strictly on algorithms, coding, or statistics. In contrast, this book blends theory, mathematics, coding, and real-world applications to bring forward a powerful message: AI is inherently nonlinear. To build the AI of the future, we must deeply understand nonlinear dynamics. 📖 Detailed Overview of the Book This description gives an extended look at the depth and breadth of the knowledge provided across the 20 major chapters. Foundations: Understanding Nonlinearity in Nature and AI The book begins by showing why linear models, although foundational, are insufficient for modeling intelligence. Biological systems, ecosystems, neural circuits, cognitive processes, economic structures, and weather patterns all follow nonlinear equations , generating highly sensitive and unpredictable behaviors. You will explore concepts such as: How small changes in initial conditions amplify into entirely different outcomes. Why deterministic systems still behave unpredictably. How neural networks internally form irregular attractor states. Why gradient descent sometimes behaves chaotically. How biological brains utilize chaotic oscillations for memory and cognition. The introductory chapters are written to be accessible for BCA, MCA, BTech, MTech, and PhD students as well as research professionals.

Non-equilibrium Transport of Non-uniform Suspended Load by Qiwei Han, Mingmin He
English | October 5, 2024 | ISBN: 9819711223 | 690 pages | MOBI | 94 Mb
The book is based on stochastic theory of sediment motion, particularly the theory of transition intensities.

Non-Substitutive Infrastructure: Ein systemisches Gedankenexperiment sowie ein Demonstrator zur Verantwortung in KI-gestützten Entscheidungen.
Deutsch | 1 Jan. 2026 | ASIN: B0GDJNLXHZ | 115 Seiten | Epub | 1.73 MB
Non-Substitutive Infrastructure ist ein systemisches Gedankenexperiment - und zugleich ein Demonstrator: eine greifbare, nachvollziehbare Form, um über Verantwortung in KI-gestützten Entscheidungen zu sprechen, ohne sie auf Technik, Compliance oder einzelne Schuldfragen zu verkürzen. Wenn Entscheidungen zunehmend von Modellen vorbereitet, gerankt oder automatisiert werden, verschiebt sich Verantwortung: weg vom einzelnen Moment der Entscheidung hin zu Design, Daten, Zuständigkeiten, Prüfpfaden und den realen Folgen für Menschen. Dieses Buch beschreibt eine Infrastruktur-Idee, die genau dort ansetzt: nicht als Ersatz für menschliche Verantwortung , sondern als Rahmen, der Verantwortung sichtbar, verteilbar und überprüfbar macht. Der Text verbindet systemisches Denken mit praktischer Anwendung: Welche Rollen entstehen? Welche Informationen müssen mitwandern? Wie sieht ein „Verantwortungspfad" aus - und wie verhindert man, dass KI zum bequemen Substitut wird? Für alle, die KI nicht nur nutzen, sondern verantwortlich einbetten wollen: in Organisationen, Verwaltung, Unternehmen, Produktteams und Politik.

Non-Optimizing Systems
Deutsch | 20 Dec. 2025 | ASIN: B0GB35GKBK | 77 Seiten | Epub | 1.56 MB
Non-Optimizing Systems beschreibt eine Klasse von KI-Systemen, die bewusst auf Zieloptimierung und finale Entscheidungsfindung verzichtet. Statt optimale Aktionen zu berechnen, erzeugt das System temporäre Bedeutungsräume: Es aktiviert relevante Faktoren, identifiziert eine dominante Spannung und gibt genau einen minimalen Orientierungsschritt aus, der Spannung reduziert, ohne Abschluss zu erzwingen. Danach wird der Bedeutungsraum verworfen - ohne Gedächtnis, ohne Historie, ohne Akkumulation. Das Buch entwickelt einen begrifflichen Kern (Bedeutung, Spannung, Richtung, Non-Closure), beschreibt eine minimale Architektur und ein Kontrollregime (Non-Closure-Constraint), schlägt einen Evaluationsrahmen vor, der Verhalten statt „Accuracy" betrachtet, und dokumentiert ein Experiment als Existenznachweis. Für Leserinnen und Leser aus KI/Tech/Wissenschaft, die Freude an Denkmodellen haben, Ambiguität nicht als Fehler behandeln - und Systeme denken wollen, die unter Unentscheidbarkeit hilfreich bleiben, ohne Verantwortung zu übernehmen.