Litgu.ru - Литературный Гуру

Название: Горячий снег. Батальоны просят огня. Последние залпы. Юность командиров
Автор(ы): Бондарев Ю.В.
Издательство: Азбука
Год: 2024
Страниц: 896
Формат: fb2, rtf
Размер: 11 Мб
Язык: русский

Юрий Васильевич Бондарев (1924–2020) прославился книгами о войне, написанными на основе собственного военного опыта. Для него Сталинградская битва 1942 года, описанная в романе «Горячий снег», или тяжелые бои при форсировании Днепра в 1943 году, о которых говорится в повести «Батальоны просят огня», – не просто страницы истории, а этапы собственной фронтовой биографии. В сборник включены также повести, написанные в 1950-х годах и посвященные событиям 1944–1945 годов: «Последние залпы» и «Юность командиров».

Название: Девчата. Полное собрание сочинений
Автор(ы): Борис Бедный
Издательство: Азбука
Год: 2024
Страниц: 880
Формат: fb2, rtf
Размер: 11 Мб
Язык: русский

Борис Васильевич Бедный – советский писатель, ветеран Великой Отечественной войны, занимал должность преподавателя в Литературном институте, где вел семинары на Высших литературных курсах (среди его учеников значится много прославленных писателей, например Чингиз Айтматов). Славу Борису Бедному принесла повесть «Девчата», переведенная на пятнадцать иностранных языков и легшая в основу одноименной картины. Каждому в России хорошо знаком фильм «Девчата», снятый режиссером Юрием Чулюкиным с Надеждой Румянцевой в главной роли.

Название: jаvascript. A Comprehensive manual for creating dynamic, responsive websites and applications: Suitable For Both Novice And Experts
Автор: Ibrahim Nugwa Abdulrazak
Издательство: Noogul Digital Services
Год: 2024
Страниц: 1555
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

This book shows off jаvascript's potential for developing web applications by mixing in-depth theory instruction with enjoyable assignments that will push your limits. To gain a thorough knowledge of the ideas, you can experiment with them in your own editor or browser console as you learn them. Basic programming concepts, including variables, arrays, objects, functions, conditionals, loops, classes, and more, will be covered first. Building on this foundation, you'll combine jаvascript with HTML and CSS to create interactive web applications that you can use immediately away, with the help of interesting examples and practical exercises. The fundamentals of the jаvascript language will be used to help you learn how to create your own scripts from scratch, which will make the script-writing process easier. Detailed examples and scripts explaining how to combine jаvascript with Google Apps script were provided in Chapters Sixteen and Seventeen. Creating and releasing add-ons for Google Sheets, Docs, and Forms on an online shop is made simple using Apps Script. It functions as a unified platform for creating, coding, and eventually sharing apps on the web store. This tutorial is designed for the aspiring Web Designers and Developers with a need to understand jаvascripting in enough detail along with its simple overview, and practical examples. This tutorial will give you enough ingredients to start with jаvascript from where you can take yourself at higher level of expertise.

Название: Государи Московские Ветер времени. Отречение
Автор(ы): Балашов Д.М.
Издательство: Азбука
Год: 2024
Страниц: 1152
Формат: fb2, rtf
Размер: 11 Мб
Язык: русский

«Государи Московские» — монументальный цикл романов, созданный писателем, филологом-русистом, фольклористом и историком Дмитрием Балашовым. Эта эпическая хроника, своего рода один грандиозный роман-эпопея, уместившийся в многотомное издание, охватывает период русской истории с 1263 до 1425 года и уже многие десятилетия не перестает поражать читателей глубиной, масштабностью, яркостью образов и мастерской стилизацией языка.

Название: Construct, Merge, Solve & Adapt: A Hybrid Metaheuristic for Combinatorial Optimization
Автор: Christian Blum
Издательство: Springer
Серия: Computational Intelligence Methods and Applications
Год: 2024
Страниц: 202
Язык: английский
Формат: pdf (true), epub
Размер: 30.7 MB

This book describes a general hybrid metaheuristic for combinatorial optimization labeled Construct, Merge, Solve & Adapt (CMSA). The general idea of standard CMSA is the following one. At each iteration, a number of valid solutions to the tackled problem instance are generated in a probabilistic way. Hereby, each of these solutions is composed of a set of solution components. The components found in the generated solutions are then added to an initially empty sub-instance. Next, an exact solver is applied in order to compute the best solution of the sub-instance, which is then used to update the sub-instance provided as input for the next iteration. In this way, the power of exact solvers can be exploited for solving problem instances much too large for a standalone application of the solver. Important research lines on CMSA from recent years are covered in this book. After an introductory chapter about standard CMSA, subsequent chapters cover a self-adaptive CMSA variant as well as a variant equipped with a learning component for improving the quality of the generated solutions over time. Furthermore, on outlining the advantages of using set-covering-based integer linear programming models for sub-instance solving, the author shows how to apply CMSA to problems naturally modelled by non-binary integer linear programming models. First of all, note that all approaches described in this book were implemented in C++ and compiled with one of the latest GNU compilers. Moreover, as ILP solver we used CPLEX version 22.1, if not otherwise stated. The book will be valuable and is intended for researchers, professionals and graduate students working in a wide range of fields, such as combinatorial optimization, algorithmics, metaheuristics, mathematical modeling, evolutionary computing, operations research, Artificial Intelligence, or statistics.

Название: Predictive Data Modelling for Biomedical Data and Imaging
Автор: Poonam Tanwar, Tapas Kumar, K. Kalaiselvi, Haider Raza
Издательство: River Publishers
Год: 2024
Страниц: 392
Язык: английский
Формат: pdf (true)
Размер: 19.4 MB

In this book, we embark on a journey into the realm of predictive data modeling for biomedical data and imaging in healthcare. It explores the potential of predictive analytics in the field of medical science through utilizing various tools and techniques to unravel insights and enhance patient care. This volume creates a medium for an interchange of knowledge from expertise and concerns in the field of predictive data modeling. In detail, the research work on this will include the effective use of predictive data modeling algorithms to run image analysis tasks for understanding. Predictive Data Modelling for Biomedical Data and Imaging is divided into three sections, namely Section I – Beginning of Predictive Data Modeling for Biomedical Data and Imaging/Healthcare, Section II – Data Design and Analysis for Biomedical Data and Imaging/Healthcare, and Section III – Case Studies of Predictive Analytics for Biomedical Data and Imaging/Healthcare. We hope this book will inspire further research and innovation in the field of predictive data modeling for biomedical data and imaging in healthcare. Better healthcare and precise medicine may be developed using AI and multipurpose ML systems. These platforms may be used to find the best routes to customize and affordable therapies. Deep Learning algorithms focus on inducement of alike conclusions as human beings ensure by incessantly examining data conferring to a specified rational structure. TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks. TensorFlow is designed to be a flexible, scalable, and efficient platform for building and training Machine Learning models. Keras is an open-source neural network library written in Python.

Название: Artificial Intelligent Algorithms for Image Dehazing and Non-Uniform Illumination Enhancement
Автор: Teena Sharma, Nishchal K. Verma
Издательство: Springer
Серия: Algorithms for Intelligent Systems
Год: 2024
Страниц: 158
Язык: английский
Формат: pdf (true)
Размер: 10.5 MB

Artificial Intelligence (AI) has introduced a range of effective image processing tools that play a pivotal role in fortifying vision-based applications. The success of these applications hinges on the quality of input images, particularly those containing intricate textural details. The merit of an image is typically gauged through visible aspects such as illumination, color, and shapes, all of which can be adversely impacted by atmospheric factors like haze and uneven illumination. When haze particles are present, they impede the transmission of reflected light rays to the observer, resulting in an elevation of airlight and causing the image to exhibit a hazy appearance. Conversely, non-uniform illumination conditions contribute to a darkened depiction of the captured scene, leading to the obscuring of visible features. Consequently, image enhancement emerges as a crucial preliminary step, aiming to revive textural intricacies and refine image details. This enhancement process proves indispensable in bolstering the resilience of vision-based applications, ensuring their optimal performance even in challenging environmental circumstances. This book provides a detailed explanation of AI algorithms for image dehazing and non-uniform illumination enhancement. It outlines unsupervised and supervised methods with their advantages and limitations. The structure of this book will be helpful for a reader first to understand the unsupervised methods considering the scenario when it is impractical to have a large set of datasets for training an AI algorithm for image enhancement. Since there have been extensive advancements in Deep Learning methods and the availability of resources, this book provides a detailed insight into the run-time and accuracy adjustments of deep learning-based AI algorithms to learn the pattern better while performing enhancement.

Название: Сад. Город. Насіння
Номер: № 7(8) липень, 2017
Изд-во: ФОП О. В. Самуляк
К-во стр: 50
Формат: pdf
Размер: 33,58 Мб
Язык: Українська

В новому номері журнала "Сад. Город. Насіння" читайте:
- "САД": садові турботи - чому не плодоносять вишня і слива?; Дерева у другий період вегетації; Клумба: догляд улітку; Подбайте про яблуню та грушу; Боротьба з плодовою гниллю та інш.*
- "ГОРОД": визначаємо дозу добрива; підв’язуємо помідори; чому гірчать огірки? тощо*
- "НАСІННЯ": помідори: збір і зберігання насіння; Пора викопувати цибулини;

Название: Физрук: назад в СССР. Цикл из 6 книг
Автор: Валерий Гуров, Рафаэль Дамиров
Издательство: СИ
Год: 2023-2024
Формат: fb2, rtf
Размер: 10 Мб
Качество: Хорошее
Язык: Русский

Я был успешным предпринимателем, но погиб от рук конкурентов. Судьба подкинула подлянку – я не отправился «на покой», а попал в прошлое. Душа вселилась в выпускника пединститута. На дворе 1980 год, а я простой физрук в советской школе, который должен отработать целых три года по распределению.
Биологичка положила на меня глаз, завуч решила сжить со свету, а директор-фронтовик повесил на меня классное руководство. Где я и где педагогика?! Ничего, прорвемся…

Название: Сборник газеты "Бабушкины пироги"
Издатель: ЧП Тригорло С.М.
Год/ месяц/ номер: 2005 / май / 05
Страниц: 64
Формат: pdf
Размер: 22.42 MB

Тематический кулинарный журнал, в котором много рецептов на все случаи жизни.
Тема выпуска: "Консервация".