A nonagon is a polygon with nine sides and nine angles. The term "nonagon" comes from the Latin word "nonus," meaning "nine," and the Greek word "gon," meaning "angle." Nonagons can be regular or irregular. - A **regular nonagon** has all nine sides of equal length and all nine interior angles equal, measuring 140 degrees each. - An **irregular nonagon** does not have equal sides or angles.
Smart materials and structures refer to materials and systems that have the ability to sense, respond to, and adapt to environmental changes or external stimuli in a controlled manner. These materials can change their properties or behavior in response to factors such as temperature, pressure, electric or magnetic fields, humidity, and mechanical forces. The field encompasses a wide range of technologies and applications, often integrating aspects of materials science, engineering, and electronics.
Andrey Rostovtsev is a mathematician known for his work in mathematical logic, particularly in model theory and set theory. He is associated with various research topics, including automata theory, computability, and the interplay between logic and other areas of mathematics.
Evgenia Zabolotskaya is a prominent Russian poet, born on February 28, 1916, in Moscow, and she is known for her contributions to Russian literature in the 20th century. Her work is characterized by a deep emotional resonance and often explores themes such as love, nature, and the human experience. Zabolotskaya's poetry reflects the tumultuous historical context of her time and is celebrated for its lyrical quality and innovative use of language.
Computational linguistics is an interdisciplinary field that merges linguistics and computer science to develop algorithms and computational models capable of processing and analyzing human language. It involves both theoretical and practical aspects, aiming to understand language through computational methods and to create applications that can interpret, generate, or manipulate natural language. Key areas of focus in computational linguistics include: 1. **Natural Language Processing (NLP)**: This is a subfield that emphasizes the interaction between computers and humans through natural language.
Distribution Learning Theory typically refers to a set of theoretical frameworks and concepts used in the field of machine learning and statistics, particularly in relation to how algorithms can learn from data that is distributed across different sources or locations. While there isn’t a universally accepted definition of Distribution Learning Theory, several key components can be highlighted: 1. **Data Distribution**: This aspect focuses on understanding the statistical distribution of data. It examines how data points are generated and how they are organized in various feature spaces.
The International Neuroinformatics Coordinating Facility (INCF) is an international organization that aims to promote collaboration and data sharing in the field of neuroinformatics, which is the discipline that combines neuroscience and informatics to facilitate the collection, sharing, and analysis of data related to the brain and nervous system. Established in 2005, the INCF works to enhance the ability of researchers worldwide to leverage computational tools and data resources to better understand neural systems.
The Linear-Nonlinear-Poisson (LNP) cascade model is a framework used in computational neuroscience to describe how sensory neurons process information. It captures the relationship between the stimuli (inputs) that a neuron receives and its firing rate (output), providing insights into the underlying mechanisms of neural coding. Here's a breakdown of the components of the LNP model: 1. **Linear Component**: The first stage of the model involves a linear transformation of the input stimulus.
Neurocomputational speech processing is an interdisciplinary field that combines principles from neuroscience, computer science, and linguistics to study and develop systems capable of processing human speech. This area of research seeks to understand how the brain processes spoken language and to model these processes in computational terms.
Tensor network theory is a mathematical framework used primarily in quantum physics and condensed matter physics to represent complex quantum states and perform calculations involving them. The core idea is to represent high-dimensional tensors (which can be thought of as a generalization of vectors and matrices) in a more manageable way using networks of interconnected tensors. This representation can simplify computations and help in understanding the structure of quantum states, particularly in many-body systems. ### Key Concepts 1.
Physics software refers to computer programs and applications designed to assist with the study, simulation, analysis, and visualization of physical phenomena. These tools are widely used in both educational settings and research environments to facilitate a deeper understanding of physics principles, conduct experiments, or develop new technologies. Here are some categories and examples of what physics software can include: 1. **Simulation Software**: Programs that simulate physical systems, allowing users to model complex behaviors without needing to physically build the systems.
Featherstone's algorithm is a mathematical method used for the efficient computation of forward dynamics in robotic systems. It is particularly well-known in the field of robotics for its application in modeling the motion of rigid body systems, such as robots and mechanical structures. The algorithm is notable for its ability to compute the dynamics of multi-body systems using a recursive approach, which significantly reduces computational complexity compared to traditional methods.
Field-theoretic simulation (FTS) is a computational technique used to study complex systems described by field theories, often in the context of statistical mechanics and quantum field theory. FTS integrates concepts from statistical field theory with numerical simulations, enabling researchers to analyze systems that exhibit emergent behavior across different scales.
The Vienna Ab initio Simulation Package (VASP) is a software tool for simulating the electronic structure of materials. It's widely used in the field of computational materials science and condensed matter physics. VASP is particularly known for its capabilities in performing density functional theory (DFT) calculations, which allow researchers to study the electronic properties of solids, surfaces, and nanostructures at an atomic level.
Non-uniform random numbers are random numbers that do not have a uniform distribution over a specified range. In a uniform distribution, every number within the defined interval has an equal probability of being selected. In contrast, non-uniform random numbers are generated according to a specific probability distribution, which means some values have a higher likelihood of being chosen than others.
Participatory budgeting (PB) is a democratic process through which community members deliberatively decide how to allocate parts of a public budget. The main goal is to give citizens a direct say in the budgeting process, fostering transparency, accountability, and civic engagement. The basic rules and steps often involved in participatory budgeting include: 1. **Citizen Engagement**: Residents are invited to participate, ensuring a broad representation of community members. This often involves meetings, workshops, or online platforms.
CAD (Computer-Aided Design) file formats are specialized file types used to create, modify, analyze, and optimize designs in various fields such as architecture, engineering, manufacturing, and construction. These file formats can contain 2D drawings, 3D models, and various other detailed specifications that support the design and manufacturing processes. Here are some common CAD file formats: ### Common CAD File Formats: 1. **DWG** (Drawing): - Proprietary format developed by Autodesk.
Architectural geometry is a field of study that combines principles from architecture, mathematics, and geometry to create complex, innovative forms and structures in architectural design. It focuses on the use of digital tools and computational methods to explore geometric shapes, surfaces, and spatial configurations, enabling architects to manipulate and analyze designs in ways that traditional methods may not allow.
Architectural animation is a specialized form of animation that focuses on creating moving visual representations of architectural designs and concepts. It is often used in the fields of architecture, real estate, and urban planning to visualize buildings, landscapes, and interiors before they are constructed. The primary objectives of architectural animation include: 1. **Visualization:** Providing a realistic depiction of a design, allowing clients, stakeholders, and the general public to understand how the final project will look and function.
Building Information Modeling (BIM) is a digital representation of the physical and functional characteristics of a facility. It is a collaborative process that involves the generation and management of digital representations of a project's physical and functional characteristics. BIM serves as a shared knowledge resource, which is used to create a reliable basis for decisions during the project lifecycle, from initial design through construction, operation, and maintenance. **Key aspects of BIM include:** 1.
Pinned article: Introduction to the OurBigBook Project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 3. Visual Studio Code extension installation.Figure 4. Visual Studio Code extension tree navigation.Figure 5. Web editor. You can also edit articles on the Web editor without installing anything locally.Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.Video 4. OurBigBook Visual Studio Code extension editing and navigation demo. Source. - Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact





