<div class="raw-html-embed"><a href="https://libratech.ai/ch/?utm_source=partner&amp;utm_medium=website&amp;utm_campaign=wkch_libra_prsp_staempfli_07_2026
">Stämpfli - L’innovation technologique au service de la littérature juridique - Testez gratuitement !</a></div>

Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Aboverträge Kündigen

Résiliation d’abonnement

Vertrag widerrufen

Résiliation de contrat 

Datenschutz

Protection des données

Impressum

Mentions légales

Zahlung und Lieferung

Paiement et livraison

Libra

Was ist Libra?

C'est quoi Libra ?

Kostenlos testen

Tester gratuitement

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Aktienrecht

Droit des sociétés anonymes

Publikationen

Publications

Literatur

Digitales Angebot

Bücher

Livres

Buchreihen

Collections

Onlinemodule LEXIA

Modules en ligne LEXIA

recht.ch

Studienliteratur

Littérature pour les études

Dienstleistungen

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Unsere Funktionen

Nos fonctions

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

Mathematics and Statistics (R0)

Egon Balas

Disjunctive Programming

1 Disjunctive programming and its relation to integer programming.-&amp;nbsp;2 The convex hull of a disjunctive set.-&amp;nbsp;3 Sequential convexification of disjunctive sets.-&amp;nbsp;4 Moving between conjunctive and disjunctive normal forms.-&amp;nbsp;5 Disjunctive programming and extended formulations.-&amp;nbsp;6 Lift-and-project cuts for mixed 0-1 programs.-&amp;nbsp;7 Nonlinear higher-dimensional representations.-&amp;nbsp;8 The correspondence between lift-and-project cuts and simple disjunctive&amp;nbsp;cuts.-&amp;nbsp;9 Solving (CGLP)k on the LP simplex tableau.-&amp;nbsp;10 Implementation and testing of variants.-&amp;nbsp;11 Cuts from general disjunctions.-&amp;nbsp;12 Disjunctive cuts from the V -polyhedral representation.-&amp;nbsp;13 Unions of polytopes in different spaces.- References.

AN INSTANT NATIONAL BESTSELLER “Evenhanded and insightful.”&nbsp; —Publisher’s Weekly (starred review) “An accessible, often fascinating primer.... Essential, illuminating reading.” —Kirkus From the author of the New York Times bestseller The Digital Doctor comes an engaging, clear-eyed, and ultimately hopeful examination of healthcare’s efforts to embrace generative artificial intelligence. In A Giant Leap, physician and thought leader Robert Wachter navigates between hype and skepticism to make a compelling case for AI’s power to transform healthcare. He argues that, in a system buckling under the weight of bureaucratic pressures, soaring costs, and clinician burnout, AI doesn’t need to be perfect—it only needs to be better. Drawing on extensive research and more than 100 interviews with pioneers across medicine, technology, policy, and business, Wachter shows how AI is already entering hospitals and clinics to draft notes, field patient questions, recommend treatments, interpret images, and guide surgeries. He unflinchingly confronts risks like hallucinations, biases, and misinformation, while revealing how AI can now match, and sometimes surpass, physicians in areas ranging from diagnosis to empathy. But this isn’t simply a technology story. It’s about the human choices that will determine whether AI becomes healthcare’s salvation or another source of harm and frustration.&nbsp; Blending clinical insight, vivid storytelling, and journalistic precision, A Giant Leap offers an indispensable roadmap for healthcare leaders, clinicians, and patients. It&nbsp;is a vibrant and timely account of how AI is changing what it means to care—and be cared for—in this age of astonishing technology.

How AI Is Transforming Healthcare and What That Means for Our Future

A Giant Leap

Das Werk bietet eine Einführung in die lineare Algebra und die analytische Geometrie und enthält Material für eine zweisemestrige Vorlesung. Es beginnt mit einem Kapitel, das allgemein in die mathematische Denkweise und Beweistechniken einführt, um dann über lineare Gleichungssysteme zur linearen Algebra überzuleiten. Der Text spannt den Bogen bis hin zu Tensorprodukten und ihren Anwendungen im Quantencomputing. Besonderer Wert wird auf eine enge Verzahnung von algebraischen und geometrischen Konzepten gelegt, zum einen um eine gute geometrische Intuition für algebraische Begriffe zu entwickeln, zum anderen um elegante algebraische Beweismethoden für geometrische Sätze einsetzen zu können.
 Der Text ist klar und verständlich geschrieben und in einem erfrischenden Stil verfasst. Interaktive Online-Übungsseiten und Illustrationen regen zu einem aktiven Studium an. Sie können auf internetfähigen Geräten mittels der angegebenen URL oder des QR-Codes aufgerufen werden. Die Aufgaben am Ende jedes Kapitels sind integraler Bestandteil des Textes. Einige von ihnen behandeln interessante Anwendungen des Stoffs.
 Der AutorProf. Dr. Christian Bär 
 hatte Professuren in Freiburg und Hamburg inne und ist heute Professor für Geometrie an der Universität Potsdam. Er war Präsident der Deutschen Mathematiker-Vereinigung und ist neben seiner Tätigkeit in Forschung und Lehre Chefredakteur von zbMATH Open.

Lineare Algebra und analytische Geometrie

How AI is shaped by Western religious culture and universal existential aspirations—and why we think we need it in the first place. Artificial Religion argues that to fully understand our puzzling relation to AI, we must first look at the religious and existential background of our thinking about machines. Mapping some surprising connections between our history of thought about machines and Western religious narratives to political issues and existential human needs and aspirations, Mark Coeckelbergh offers a better understanding of our relationship to machines and why we think we need them at all. The book is unique in not just discussing the myth of AI in terms of its technical limitations and the power of Big Tech but also revealing the deeper cultural “grammar” of AI—that is, the religious patterns of thinking and existential aspirations that are often not visible but still haunt Western thinking and shape its technological culture. Moreover, this is done in a way that sheds critical light on the power of AI.

On AI, Myth, and Power

Artificial Religion

How tech companies, journalists, and policymakers can prevent AI decision-making from going wrong. Our lives are increasingly governed by automated systems influencing everything from medical care to policing to employment opportunities, but researchers and investigative journalists have proven that AI systems regularly get things wrong. Auditing AI is a first-of-its-kind exploration of why and how to audit artificial intelligence systems. It offers a simple roadmap for using AI audits to make product and policy changes that benefit companies and the public alike. The book aims to convince readers that AI systems should be subject to robust audits to protect all of us from the dangers of these systems. Readers will come away with an understanding of what an AI audit is, why AI audits are important, key components of an audit that follows best practices, how to interpret an audit, and the available choices to act on an audit’s results. The book is organized around canonical examples: from AI-powered drones mistakenly targeting civilians in conflict areas to false arrests triggered by facial recognition systems that misidentified people with dark skin tones to HR hiring software that prefers men. It explains these definitive cases of AI decision-making gone wrong and then highlights specific audits that have led to concrete changes in government policy and corporate practice. The Marquand House Collective: Marc Aidinoff, Lena Armstrong, Esha Bhandari, Ellery Roberts Biddle, Motahhare Eslami, Karrie Karahalios, Nate Matias, Danaé Metaxa, Alondra Nelson, Christian Sandvig, and Kristen Vaccaro.

Auditing AI

Build Bayesian Networks and Causal Inference Models with R and Python

Causal Inference with Bayesian Networks

Toward a deeper understanding of minds, whether natural or artificial, and of how they are studied and built across AI, AGI, and cognitive science. Minds are functional entities that enable intelligent behavior. In On Minds, Paul Rosenbloom offers reflections and perspectives on the study of minds arising from a multi-decade career focused largely on cognitive architectures—hypotheses concerning the fixed structures and processes that yield a mind, whether natural or artificial. Cognitive architectures must be integrative in accommodating the full range of capabilities required of a mind. They must also be general, in applying across many, if not all, problems and domains. This breadth of investigation, across a sequence of three such architectures—XAPS, Soar, and Sigma—and over many years, has inspired a set of reflections on both cognitive architectures and three core disciplines within which such work occurs—artificial intelligence (AI), artificial general intelligence (AGI), and cognitive science. The book’s reflections are of three types. The first explores four concepts critical to understanding minds—architectures, symbols, intelligence, and theories—to provide new perspectives and insights on them. The second rethinks the structure of the space of technologies that underlies work on minds, yielding multidimensional maps that clarify their similarities and differences plus detailed insights into the tradeoffs that exist across both individual technologies and integrated systems—whether symbolic, neural, or hybrid—built from them. The third traces the author’s decades of work on architectures—including cognitive architectures, the Common Model of Cognition, and the nature and structure of computing as a great scientific domain—interwoven with personal reflections and anecdotes.

Reflections of a Cognitive Architect

On Minds

A timely, practical guide to AI—its strengths, weaknesses, and real-world applications—for business professionals and policymakers. Artificial intelligence, or AI, can recognize a pattern from any set of data it is given, which is what makes it such an extraordinarily powerful tool. But because not all patterns are authentic or reliable, AI's pattern-finding superpower can lead to spurious patterns—and to disastrous results for business and government entities that rely on them. Hence the conundrum at the heart of AI: its greatest strength can also be its greatest weakness. Targeting the businessperson who needs to know how to use AI profitably and responsibly, Caleb Briggs and Rex Briggs offer in this book a foundational understanding of AI that is easy to grasp yet thorough enough to be used effectively.

Harnessing the Power of AI for Your Organization—Profitably and Safely

The AI Conundrum

Banish Your Mouse. The Linux Command Line isn’t just a reference manual. It’s a complete education on how Linux really works. From your first tentative keystrokes to writing powerful shell scripts, you’ll build the confidence and understanding to make your system work for you. Now in its third edition, this best-selling guide has been fully updated with modern examples, nearly 40 pages of new content, and downloadable scripts from LinuxCommand. Used in more than a thousand classrooms and libraries worldwide, it has helped over 150,000 readers gain fluency and confidence in Linux. Author and command line guru William Shotts delivers not just commands, but genuine insight, guided by his philosophy: Make everything as simple as possible, but no simpler. Through short, digestible chapters, you’ll learn to: <ul><li>Navigate the filesystem, manage files, and configure your environment</li><li>Chain commands, redirect input/output, and use regular expressions</li><li>Control processes, manage packages, and work with networking tools</li><li>Edit text with Vim</li><li>Write shell scripts to automate tasks and build custom tools</li><li>Use core utilities like grep, cut, sed, and tar to process data</li><li>Manage filesystems and compile programs from source</li></ul> Whether you’re managing servers, studying cybersecurity, or just curious about your computer, The Linux Command Line gives you the knowledge to command your system with confidence.

A Complete Introduction

The Linux Command Line, 3rd Edition

Dieser Praxisleitfaden hilft Unternehmern, Führungskräften und Projektverantwortlichen, strategische und Change-Entscheidungen klar und zügig umzusetzen.&nbsp;Basierend auf Interviews,&nbsp;Workshops und Trainings sowie anhand umfassender Testfragen stellen die Autoren ein eigenes Diagnose-Tool zur Verfügung, das die Ursachen für Effizienzverluste aufgrund mangelnder Konsequenz methodisch identifiziert und behebt. Klarheit, Konfrontation und Ressourcenschöpfung bei Führungskräften und Mitarbeitern beseitigen die Konsequenzdefizite und leiten eine nachhaltige Effizienzsteigerung im Unternehmen ein.
 Der Inhalt
 Formen des KonsequenzmanagementsCRM und Ressourcenschöpfung der MitarbeiterExcellence Initiative mit Auswertung des CRM-PortfoliosKonsequenzmanagement als Gesamtkonzept5-Stufen-MDK-Modell der inconHRFolgen von InsequenzLösungen und PraxisbeispieleEmpfehlungen, Praxistipps, Checklisten.
 Die AutorenWolfhart Haack
 ist Rechtsanwalt mit Schwerpunkt Arbeitsrecht/Betriebsverfassungsrecht und besitzt langjährige Erfahrung in leitenden Funktionen im Bereich HR (Bankwesen, Sparkasse, Zentralinstitut Volks- und&nbsp;Raiffeisenbanken, Wirtschaftskanzleien).
 Arvid Rapp
 ist Diplom-Psychologe mit&nbsp;Schwerpunkt Arbeits- und Organisationspsychologie ergänzt um fundierte&nbsp;betriebswirtschaftliche Kenntnisse. Er besitzt langjährige Erfahrung in der Konzeption, Planung&nbsp;und Umsetzung von Strategie- und Geschäftsprozessen, Entwicklung von&nbsp;Führungsstrukturen und -kompetenzen, Personalentwicklung sowie im&nbsp;Projektmanagement.
 
 Ihre Hauptarbeitsgebiete sind die Konzeption und Begleitung von Strategie- und Geschäftsprozessen,&nbsp;Konzeption,&nbsp;Steuerung und Begleitung von Change-Management-Prozessen und Coaching von&nbsp;Führungskräften im Rahmen dieser Prozesse.

Praktischer Effizienzleitfaden mit Diagnose-Tool

Konsequenz statt Kompromiss (AT)

Build intelligent applications—no data science degree required. Your boss is pitching new AI features. Your team is buzzing about MCP servers. Job postings are asking for AI experience with RAG, vector databases, fine-tuning, and agents. You can feel the excitement. You see the potential. You may be wondering how to get started in AI without a data science degree. You’re in the right place. The Developer’s Guide to AI gives working developers a practical path through the terminology, tools, and implementation patterns that matter. It shows you how to build with AI using the tools you already know: JavaScript, Python, APIs, SDKs, and databases. By the end of this book, you’ll know how to: <ul><li>Call LLM APIs and stream intelligent responses directly to your UI.</li><li>Engineer prompts that produce reliable, production-ready results.</li><li>Build RAG pipelines using vector databases to give AI access to your private data.</li><li>Fine-tune models with LoRA for specialized tasks like classification.</li><li>Deploy AI agents using tool-calling and the Model Context Protocol (MCP) to reason and act inside real workflows.</li></ul> LLMs, RAG, LoRA, MCP, embeddings, and agents are not just intimidating buzzwords. They are the building blocks for the next generation of software. Grab your code editor, bring your engineering instincts, and let’s build what’s next!

The Developer's Guide to AI

Audits are no longer random-and compliance is no longer manual. Today, artificial intelligence determines which businesses get audited, how deeply investigators dig, and whether a review escalates into penalties or quietly disappears.

AI Audit Defense &amp; Risk Reduction reveals how modern enforcement systems actually work-and how smart businesses use the same AI logic to stay protected, credible, and invisible to unnecessary scrutiny.

This book is not about fear, loopholes, or hiding income. It's about designing a business that algorithms trust.
Inside, you'll discover how AI-driven tax authorities evaluate risk, how audit scores are calculated, and how to proactively shape your financial data so your business remains statistically clean, defensible, and low-priority for investigation-year after year.
In this book, you'll learn how to:Understand how AI selects businesses for IRS audits and regulatory reviews
Identify the hidden financial patterns that silently increase audit risk
Use AI to calculate and monitor your business's audit risk score
Build a complete digital audit trail that satisfies both humans and machines
Detect compliance red flags in real time-before filings are submitted
Respond to audit inquiries strategically without escalating scrutiny
Turn past audits into intelligence that lowers future risk
Design long-term compliance systems that create "audit immunity"
Make defensible financial decisions that remain explainable years later
Transform compliance from a liability into a competitive advantage


Who this book is for:Business owners and entrepreneurs
Investors and real estate professionals
Consultants, agencies, and service firms
Online businesses and multi-entity operators
Anyone who wants to grow without triggering regulatory attention



If you want to stop worrying about audits, understand how enforcement algorithms really work, and build a business that thrives under constant observation, AI Audit Defense &amp; Risk Reduction gives you the framework, mindset, and systems to do exactly that.
In the age of AI-driven enforcement, the safest businesses aren't the smallest or quietest-they're the smartest.

How Businesses Avoid Costly IRS Investigations

AI Audit Defense & Risk Reduction

Data-Driven Marketing Analytics: Research Methods and Analytical Tools bridges the gap between traditional marketing research and modern big data analytics, offering a step-by-step guide to transforming data into actionable insights.Readers will gain practical skills to design and manage research projects, predict customer behaviour, and uncover hidden patterns in purchasing data. The book delivers these benefits through hands-on exercises, shareable datasets, and visual workflows, ensuring accessibility for users without coding experience. Key features include real-world case studies, interactive examples, and tools for segmentation, forecasting, and strategic decision-making.This book is tailored for postgraduate students, researchers, and marketing professionals seeking to master data-driven decision-making. It is ideal for advanced courses in Marketing Analytics, Management Information Systems, and Business Statistics.The book is supported by a comprehensive online repository containing over 100 ready-to-use files, including datasets, Excel solutions, SPSS files, and Orange workflows.

Research Methods and Analytical Tools

Data-Driven Marketing Analytics

Disjunctive Programming

Autres titres sur ce thème