Symmetric successive over-relaxation 1970-01-01
Symmetric Successive Over-Relaxation (SSOR) is an iterative method used to solve linear systems of equations, specifically when the system is represented in the form \(Ax = b\), where \(A\) is a symmetric matrix. SSOR is an extension of the Successive Over-Relaxation (SOR) method, which improves convergence rates for iterative solutions. ### Overview of SSOR 1.
Tensor decomposition 1970-01-01
Tensor decomposition is a technique used to break down a higher-dimensional array, known as a tensor, into simpler, interpretable components. Tensors can be thought of as generalizations of matrices to higher dimensions. While a matrix is a two-dimensional array (with rows and columns), a tensor can have three or more dimensions, such as a three-dimensional array (height, width, depth), or even higher.
Necessity 1970-01-01
Necessity refers to a state or condition in which something is required, needed, or indispensable. It denotes an essential requirement that must be fulfilled in order for something to happen or for a particular condition to be met. The concept of necessity can be applied in various contexts, including philosophical, legal, economic, and everyday language. In philosophy, necessity often relates to notions of determinism and free will, where certain events or conditions may be considered necessary based on prior causes.
Anankastic conditional 1970-01-01
Conditional sentence 1970-01-01
A conditional sentence is a type of sentence that expresses a condition and its possible outcome. It typically consists of two clauses: the "if clause" (the condition) and the main clause (the result). Conditional sentences are used to discuss hypothetical situations and their consequences, and they can express different degrees of reality or likelihood. There are several types of conditional sentences: 1. **Zero Conditional**: Used for general truths or facts. Both clauses are in the present simple tense.
Counterfactual conditional 1970-01-01
Counterfactual conditionals are statements or propositions that consider what would be the case if a certain condition were true, even though it is not actually true. These types of conditionals typically have an "if" clause that describes a situation contrary to fact and a "then" clause that describes the consequences or outcomes that would follow from that situation. For example, a classic counterfactual conditional is: "If Julius Caesar had not been assassinated, he would have become the emperor of Rome.
Liquid crystal tunable filter 1970-01-01
A Liquid Crystal Tunable Filter (LCTF) is an optical device that uses liquid crystal technology to selectively transmit light at specific wavelengths while blocking others. Unlike traditional optical filters, which are fixed and only allow certain wavelengths to pass through, LCTFs can be dynamically adjusted to change their transmission characteristics.
Giuseppe Peano 1970-01-01
Giuseppe Peano (1858–1932) was an Italian mathematician and logician known for his work in mathematical logic and the foundations of mathematics. He is best recognized for developing Peano arithmetic, a formal system that defines the natural numbers using a set of axioms, known as Peano's axioms. These axioms are foundational in mathematical logic and serve as a basis for number theory.
Hermann Grassmann 1970-01-01
Hermann Grassmann (1809–1877) was a German philosopher, mathematician, and linguist, best known for his contributions to the fields of mathematics and linguistics, particularly for developing concepts related to vector spaces and linear algebra. His most notable work is the "Die Lineale Ausdehnungslehre" (Theory of Linear Extension), published in 1844, where he introduced what is now known as Grassmann algebra.
Isaac Newton 1970-01-01
Isaac Newton (1642–1727) was an English mathematician, physicist, astronomer, and author who is widely regarded as one of the most influential scientists of all time. He made significant contributions to various fields, including: 1. **Mathematics**: Newton is one of the founders of calculus, a branch of mathematics that deals with rates of change and the accumulation of quantities.
Ivar Otto Bendixson 1970-01-01
Ivar Otto Bendixson (1861–1935) was a Norwegian mathematician known for his contributions to real analysis and calculus, particularly in the field of measure theory and the theory of functions of real variables. He is perhaps best known for the Bendixson-Debever theorem in the theory of differential equations and for his work on the properties of continuous functions. Bendixson's research laid important groundwork in areas that later influenced mathematical analysis and topology.
Jacob Levitzki 1970-01-01
Jacob Levitzki is a prominent Israeli chemist known for his contributions to the field of biochemistry and drug discovery. He is particularly notable for his work on enzyme inhibitors and the development of small molecules that can modulate biological pathways. Levitzki's research has implications for understanding diseases and designing therapeutic agents. He has published extensively in scientific journals and has been involved in various academic and research institutions throughout his career.
William Rowan Hamilton 1970-01-01
William Rowan Hamilton (1805–1865) was an Irish mathematician, astronomer, and physicist, best known for his contributions to classical mechanics, optics, and algebra. He is particularly famous for the development of Hamiltonian mechanics, a reformulation of Newtonian mechanics that uses the principles of energy rather than forces, which laid the groundwork for modern theoretical physics.
Generalizations of the derivative 1970-01-01
The generalizations of the derivative extend the concept of a derivative beyond its traditional definitions in calculus, which deal primarily with functions of a single variable. These generalizations often arise in more complex mathematical contexts, including higher dimensions, abstract spaces, and various types of functions. Here are some notable generalizations: 1. **Directional Derivative**: In the context of multivariable calculus, the directional derivative extends the concept of the derivative to functions of several variables.
Integral transforms 1970-01-01
Integral transforms are mathematical operators that take a function and convert it into another function, often to simplify the process of solving differential equations, analyzing systems, or performing other mathematical operations. The idea behind integral transforms is to encode the original function \( f(t) \) into a more manageable form, typically by integrating it against a kernel function. Some commonly used integral transforms include: ### 1. **Fourier Transform** The Fourier transform is used to convert a time-domain function into a frequency-domain function.
Transforms 1970-01-01
"Transforms" can refer to various concepts depending on the context in which it is used. Here are a few possible interpretations: 1. **Mathematics**: In mathematics, transforms are operations that take a function or a signal and convert it into a different function or representation. Common examples include the Fourier transform, Laplace transform, and Z-transform, among others. These transforms help analyze signals and systems, especially in frequency domain analysis.
Unitary operators 1970-01-01
Unitary operators are fundamental objects in the field of quantum mechanics and linear algebra. They are linear operators that preserve the inner product in a complex vector space. Here’s a more detailed explanation: ### Definition: A linear operator \( U \) is called unitary if it satisfies the following conditions: 1. **Preservation of Norms**: For any vector \( \psi \) in the space, \( \| U\psi \| = \|\psi\| \).
Abramowitz and Stegun 1970-01-01
"Abramowitz and Stegun" commonly refers to the book "Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables," which was edited by Milton Abramowitz and Irene A. Stegun. First published in 1964, this comprehensive reference work has been widely used in mathematics, physics, engineering, and related fields.
Oceanographic satellites 1970-01-01
Oceanographic satellites are specialized satellites designed to monitor and study various aspects of Earth's oceans. They collect data on physical, chemical, and biological properties of the ocean, providing valuable information for scientific research, environmental monitoring, and resource management. Here are some key functions and features of oceanographic satellites: 1. **Sea Surface Temperature (SST)**: Many oceanographic satellites are equipped with sensors that measure the temperature of the ocean's surface.