- published: 11 Aug 2015
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In mathematics, magnitude is the size of a mathematical object, a property by which the object can be compared as larger or smaller than other objects of the same kind. More formally, an object's magnitude is an ordering (or ranking) of the class of objects to which it belongs.
The Greeks distinguished between several types of magnitude, including:
They proved that the first two could not be the same, or even isomorphic systems of magnitude. They did not consider negative magnitudes to be meaningful, and magnitude is still chiefly used in contexts in which zero is either the lowest size or less than all possible sizes.
The magnitude of any number is usually called its "absolute value" or "modulus", denoted by |x|.
The absolute value of a real number r is defined by:
It may be thought of as the number's distance from zero on the real number line. For example, the absolute value of both 7 and −7 is 7.
Mathematics (from Greek μάθημα máthēma, “knowledge, study, learning”) is the study of topics such as quantity (numbers),structure,space, and change. There is a range of views among mathematicians and philosophers as to the exact scope and definition of mathematics.
Mathematicians seek out patterns and use them to formulate new conjectures. Mathematicians resolve the truth or falsity of conjectures by mathematical proof. When mathematical structures are good models of real phenomena, then mathematical reasoning can provide insight or predictions about nature. Through the use of abstraction and logic, mathematics developed from counting, calculation, measurement, and the systematic study of the shapes and motions of physical objects. Practical mathematics has been a human activity for as far back as written records exist. The research required to solve mathematical problems can take years or even centuries of sustained inquiry.
Rigorous arguments first appeared in Greek mathematics, most notably in Euclid's Elements. Since the pioneering work of Giuseppe Peano (1858–1932), David Hilbert (1862–1943), and others on axiomatic systems in the late 19th century, it has become customary to view mathematical research as establishing truth by rigorous deduction from appropriately chosen axioms and definitions. Mathematics developed at a relatively slow pace until the Renaissance, when mathematical innovations interacting with new scientific discoveries led to a rapid increase in the rate of mathematical discovery that has continued to the present day.
Khan Academy is a non-profit educational organization created in 2006 by educator Salman Khan with the aim of providing a free, world-class education for anyone, anywhere. The organization produces short lectures in the form of YouTube videos. In addition to micro lectures, the organization's website features practice exercises and tools for educators. All resources are available for free to anyone around the world. The main language of the website is English, but the content is also available in other languages.
The founder of the organization, Salman Khan, was born in New Orleans, Louisiana, United States to immigrant parents from Bangladesh and India. After earning three degrees from the Massachusetts Institute of Technology (a BS in mathematics, a BS in electrical engineering and computer science, and an MEng in electrical engineering and computer science), he pursued an MBA from Harvard Business School.
In late 2004, Khan began tutoring his cousin Nadia who needed help with math using Yahoo!'s Doodle notepad.When other relatives and friends sought similar help, he decided that it would be more practical to distribute the tutorials on YouTube. The videos' popularity and the testimonials of appreciative students prompted Khan to quit his job in finance as a hedge fund analyst at Connective Capital Management in 2009, and focus on the tutorials (then released under the moniker "Khan Academy") full-time.
Orders of magnitude are written in powers of 10. For example, the order of magnitude of 1500 is 3, since 1500 may be written as 1.5 × 103.
Differences in order of magnitude can be measured on the logarithmic scale in "decades" (i.e., factors of ten). Examples of numbers of different magnitudes can be found at Orders of magnitude (numbers).
Orders of magnitude are used to make approximate comparisons. If numbers differ by one order of magnitude, x is about ten times different in quantity than y. If values differ by two orders of magnitude, they differ by a factor of about 100. Two numbers of the same order of magnitude have roughly the same scale: the larger value is less than ten times the smaller value.
The order of magnitude of a number is, intuitively speaking, the number of powers of 10 contained in the number. More precisely, the order of magnitude of a number can be defined in terms of the common logarithm, usually as the integer part of the logarithm, obtained by truncation. For example, the number 4,000,000 has a logarithm (in base 10) of 6.602; its order of magnitude is 6. When truncating, a number of this order of magnitude is between 106 and 107. In a similar example, with the phrase "He had a seven-figure income", the order of magnitude is the number of figures minus one, so it is very easily determined without a calculator to be 6. An order of magnitude is an approximate position on a logarithmic scale.
In mathematics, big O notation describes the limiting behavior of a function when the argument tends towards a particular value or infinity, usually in terms of simpler functions. It is a member of a larger family of notations that is called Landau notation, Bachmann–Landau notation (after Edmund Landau and Paul Bachmann), or asymptotic notation. In computer science, big O notation is used to classify algorithms by how they respond (e.g., in their processing time or working space requirements) to changes in input size. In analytic number theory, it is used to estimate the "error committed" while replacing the asymptotic size, or asymptotic mean size, of an arithmetical function, by the value, or mean value, it takes at a large finite argument. A famous example is the problem of estimating the remainder term in the prime number theorem.
Big O notation characterizes functions according to their growth rates: different functions with the same growth rate may be represented using the same O notation.
Practice this lesson yourself on KhanAcademy.org right now: https://www.khanacademy.org/math/pre-algebra/exponents-radicals/orders-of-magnitude/e/orders-of-magnitude?utm_source=YT&utm;_medium=Desc&utm;_campaign=PreAlgebra Watch the next lesson: https://www.khanacademy.org/math/pre-algebra/exponents-radicals/orders-of-magnitude/v/orders-of-magnitude-exercise-example-2?utm_source=YT&utm;_medium=Desc&utm;_campaign=PreAlgebra Missed the previous lesson? https://www.khanacademy.org/math/pre-algebra/exponents-radicals/orders-of-magnitude/v/patterns-in-zeros-exercise?utm_source=YT&utm;_medium=Desc&utm;_campaign=PreAlgebra Pre-Algebra on Khan Academy: No way, this isn't your run of the mill arithmetic. This is Pre-algebra. You're about to play with the professionals. Think of pre-algebra as a runway...
Practice this lesson yourself on KhanAcademy.org right now: https://www.khanacademy.org/math/pre-algebra/exponents-radicals/orders-of-magnitude/e/orders-of-magnitude?utm_source=YT&utm;_medium=Desc&utm;_campaign=PreAlgebra Watch the next lesson: https://www.khanacademy.org/math/pre-algebra/exponents-radicals/computing-scientific-notation/v/multiplying-in-scientific-notation?utm_source=YT&utm;_medium=Desc&utm;_campaign=PreAlgebra Missed the previous lesson? https://www.khanacademy.org/math/pre-algebra/exponents-radicals/orders-of-magnitude/v/orders-of-magnitude-exercise-example-1?utm_source=YT&utm;_medium=Desc&utm;_campaign=PreAlgebra Pre-Algebra on Khan Academy: No way, this isn't your run of the mill arithmetic. This is Pre-algebra. You're about to play with the professionals. Think of pre-a...
order of magnitude
Subscribe Now: http://www.youtube.com/subscription_center?add_user=Ehow Watch More: http://www.youtube.com/Ehow So long as you know a few particular things, you have all you need to find the magnitude of a vector. Find the magnitude of a vector with two components with help from a physics professional in this free video clip. Expert: Julia Lundy Filmmaker: Victor Varnado Series Description: Mathematics is a large and varied topic with many different facets, so it can only be natural to feel a bit overwhelmed from time to time. Get tips on performing and solving a variety of different math problems and functions with help from a physics professional in this free video series.
Finding the magnitude of a vector in two dimensions, for more videos visit cxcmathtutor.com CSEC CXC Math ACT Math, SAT Math, ACT Math Test, SAT Math Test, CXC CSEC Math Exam To Join my Live Online Tutor Class, please email me at cxcmathtutor@gmail.com
► Subscribe to my channel // http://www.youtube.com/subscription_center?add_user=TheIntegralCalc ► Check out http://www.kristakingmath.com for more math help! :D Learn how to find the magnitude and angle of the resultant force from two vectors. ● ● ● GET EXTRA HELP ● ● ● If you could use some extra help with your math class, then check out Krista’s website // http://www.kristakingmath.com ● ● ● CONNECT WITH KRISTA ● ● ● Hi, I’m Krista! I make math courses to keep you from banging your head against the wall. ;) Math class was always so frustrating for me. I’d go to a class, spend hours on homework, and three days later have an “Ah-ha!” moment about how the problems worked that could have slashed my homework time in half. I’d think, “WHY didn’t my teacher just tell me this in the firs...
Vector components from magnitude and direction
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This video in hindi explains Gauss' theorem which states that the total electric flux through a closed surface is equal to q / ɛ0 times the magnitude of the charge enclosed. Mathematically, dФ = q/ε0 In other words, Gauss' theorem states that the surface integral of the electric field over the closed surface is equal to 1/ɛ0 times the charge enclosed. Mathematically, ∮E ⃗ .ds ⃗ = q/ε_0 ELECTRIC FLUX : The electric flux through a surface represents the total number of electric field lines crossing the surface in the direction normal to the surface. Electric flux is a scalar quantity and is denoted by Ф. Mathematically, dФ = E ⃗ . ds ⃗ where, dФ is the electric flux associated with the area element ds ⃗ placed in an electric field E ⃗ Click...
Numeracy Webinar #: Arithmetic skills vs Magnitude comparison
Vectors is about directions explained in 2 forms: magnitude and direction.
This video shows how a vector quantity is represented in Physics in terms of their magnitudes and direction cosines.
Taking you from the Laplace variable 's' to the frequency (Magnitude and Phase) response of a system transfer function, this video describes the mathematical justification for a very simple graphical approach.
In this class, I have instructed how the vectors are added geometrically to find the resultant vector magnitude and direction. I have also shown how dot product works.
In this twentieth video in the new series on G.W.F. Hegel's great early work, the Phenomenology of Spirit, I read and comment on the forty-sixth and forty-seventh paragraphs of the text, from the Preface. In these sections, Hegel continues his critique of mathematical cognition, and of philosophical approaches which base themselves on this model of cognition. Mathematics, which deals in magnitude, treats time under that aspect -- failing to grasp that time is the locus for the development of the existent Notion. He also discusses the nature of the dialectical process, using a metaphor of the Bacchanalian revel, in which all members are drunk, but which remains in its dynamics a perfect repose. In this video series, I will be working through the entire Phenomenology, paragraph by paragr...
http://www.cppcon.org — Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2014 -- Meet C++ AMP (Accelerated Massive Parallelism), an abstraction layer on top of accelerators such as GPUs. In its current version it allows you to run code on any DX11 GPU, independent of the vendor, and it will even distribute workload across GPUs of different vendors simultaneously. C++ AMP was originally designed by Microsoft but is now an open standard. C++ AMP can deliver orders of magnitude performance increase with certain algorithms by utilizing the GPU to perform mathematical calculations. This talk will give a high level overview of what C++ AMP is and what it can do for you. It is time to start taking advantage of the computing pow...
Abstract Numerical software, common in scientific computing or embedded systems, inevitably uses an approximation of the real arithmetic in which most algorithms are designed. Finite-precision arithmetic, such as fixed-point or floating-point, is a common and efficient choice, but introduces an uncertainty on the computed result that is often very hard to quantify. We need adequate tools to estimate the errors introduced in order to choose suitable approximations which satisfy the accuracy requirements. I will present a programming model where the scientist writes his or her numerical program in a real-valued specification language with explicit error annotations. It is then the task of our verifying compiler to select a suitable floating-point or fixed-point data type which guarantees th...
http://www.cppcon.org — Presentation Slides, PDFs, Source Code and other presenter materials are available at:https://github.com/CppCon/CppCon2014 -- Meet C AMP (Accelerated Massive Parallelism), an abstraction layer on top of accelerators such as GPUs. In its current version it allows you to run code on any DX11 GPU, independent of the vendor, and it will even distribute workload across GPUs of different vendors simultaneously. C AMP was originally designed by Microsoft but is now an open standard. C AMP can deliver orders of magnitude performance increase with certain algorithms by utilizing the GPU to perform mathematical calculations. This talk will give a high level overview of what C AMP is and what it can do for you. It is time to start taking advantage of the computing power of GPU...
http://www.cppcon.org — Presentation Slides, PDFs, Source Code and other presenter materials are available at:https://github.com/CppCon/CppCon2014 -- Meet C AMP (Accelerated Massive Parallelism), an abstraction layer on top of accelerators such as GPUs. In its current version it allows you to run code on any DX11 GPU, independent of the vendor, and it will even distribute workload across GPUs of different vendors simultaneously. C AMP was originally designed by Microsoft but is now an open standard. C AMP can deliver orders of magnitude performance increase with certain algorithms by utilizing the GPU to perform mathematical calculations. This talk will give a high level overview of what C AMP is and what it can do for you. It is time to start taking advantage of the computing power of GPU...
Abstract : Numerical software, common in scientific computing or embedded systems, inevitably uses an approximation of the real arithmetic in which most algorithms are designed. Finite-precision arithmetic, such as fixed-point or floating-point, is a common and efficient choice, but introduces an uncertainty on the computed result that is often very hard to quantify. We need adequate tools to estimate the errors introduced in order to choose suitable approximations which satisfy the accuracy requirements. I will present a new programming model where the scientist writes his or her numerical program in a real-valued specification language with explicit error annotations. It is then the task of our verifying compiler to select a suitable floating-point or fixed-point data type which guarante...