Thursday, 21 December 2017
Saturday, 12 August 2017
Math quotes
Inspirational math quotes
1. “Do not worry about your difficulties in mathematics. I can assure you mine are still greater.” – Albert Einstein
2. “The study of mathematics, like the Nile, begins in minuteness but ends in magnificence.” – Charles Caleb Colton
3. “Without mathematics, there’s nothing you can do. Everything around you is mathematics. Everything around you is numbers.” – Shakuntala Devi
4. “In mathematics the art of proposing a question must be held of higher value than solving it.” – Georg Ferdinand Ludwig Philipp Cantor
5. “The only way to learn mathematics is to do mathematics.” – Paul Halmos

6. “Obvious is the most dangerous word in mathematics.” – Eric Temple Bell
7. “Mathematics is the music of reason.” –James Joseph Sylvester
8. “You don’t have to be a mathematician to have a feel for numbers.” – John Forbes Nash, Jr.
9. “Life is a math equation. In order to gain the most, you have to know how to convert negatives into positives.” –Anonymous
10. “Arithmetic is being able to count up to twenty without taking off your shoes.” –Mickey Mouse
Thursday, 27 July 2017
Maths in Environment studies
Mathematics plays a key role in environmental studies, modeling, etc. Basic mathematics - calculus, percents, ratios, graphs and charts, sequences, sampling, averages, a population growth model, variability and probability - all relate to current, critical issues such as pollution, the availability of resources, environmental clean-up, recycling, CFC's, and population growth. In January of this year the annual winter meeting of the national mathematics societies held theme sessions on Mathematics and the Environment. Several presentations were made. Papers are available on request as described below. Fred Roberts - Department of Mathematics, Rutgers University Moving Traffic So As To Use Less Fuel and Reduce Pollution Two of the ways in which mathematics is used in traffic management are in the phasing of traffic lights and in the design of patterns of one-way streets. Mathematical methods first developed in the early stages of sequencing the DNA molecule have turned out to be useful in deciding when to give different streams of traffic a green light. Related mathematical methods are useful in deciding how to make streets one-way so as to move traffic more efficiently. Robert McKelvey - Department of Mathematics, Univ. of Montana Global Climate Change: How We Set Policy How we deal with uncertainty in making environmental decisions, focusing on some of the interlocking environmental problems of today: 1) global warming; 2) biodiversity and genetic diversity (loss of species); and 3)impending losses of resources (land, energy, clean air, water). Mary Wheeler - Department of Mathematics, Rice University, and Kyle Roberson, Pacific Northwest Laboratories Bio-remediation Modeling: Using Indigenous Organisms to Eliminate Soil Contaminants An explanation of laboratory, field, and simulation work to validate remediation strategies at U.S. Department of Energy sites, such as Hanford, WA. A project goal is to formulate and implement accurate and efficient algorithms for modeling biodegradation processes. Numerical simulation results that utilize realistic data and parallel computational complexity issues are discussed. Simon Levin - Section of Ecology and Systematics, Cornel The Problem of Scale in Ecology: Why this is Important in Resolving Global Problems Global environmental problems have local and regional causes and consequences, such as, linkages between photosynthetic dynamics at the leaf level, regional shifts in forest composition, and global changes in climate and the distribution of greenhouse gases. The fundamental problem is relating processes that are operating on very different scales of space and time. Mathematical methods provide the only way such problems can be approached, and techniques of scaling,
Thursday, 13 July 2017
Application of algebra
Real Life Applications of Algebra Objectives

Too often students think of algebra as an abstract topic completely disconnected from the real world. This may in part be attributed to the way in which many algebra curricula are written or presented, causing students to see the subject as valueless. Fortunately, real-life applications of algebra objectives abound, and learners can investigate them throughout the course.
How Much Can You Buy?
Writing and solving various types of equations is one of the key objectives of algebra. Many of the most widely useful applications pertaining to equations involve the transfer of money. Such problems are often of the type “You have x amount of money, how much of y product can you buy with it?” For instance, envision a scenario in which you’re helping prepare for a party, and are sent to the store with $30 to buy as many liter bottles of soda as possible, as well as a package of plastic cups. Each liter of soda costs $1.80, and a package of cups costs $4.50. To quickly calculate how many sodas you can buy, you can write and solve an algebraic equation: 1.8x+4.5=30. Other real-life applications in this category could include figuring out how many bottles you could buy if they are priced at two for $3.50 or are being offered as a part of a buy-one-get-one-free special.
Markup and Markdown
Interpreting and solving problems involving ratios, proportions and percents comprises another objective of algebra. Real-world scenarios in this genre can easily be created around the idea of store sales. Types of problems could include determining the percent off, percent saved, new cost or original cost. For example, suppose a shirt is priced at $22 and a sign says the price is 30 percent off. You want to know how much the shirt cost originally to see whether your savings would be significant. Thirty percent off equates to 70 percent of the original price, so, using the algebraic proportion formula to write a proportion: 22/x=70/100, and solve it by using cross-products.
Thursday, 22 June 2017
Article
Advantages of Mathematics
Many of us considered about the key benefits of Arithmetic during our youth. Many of us were not able to view the key benefits of mathematics beyond the everyday use of determining simple figures. Let us see in details what are some of the key benefits of learning mathematics and marveling at this difficult topic at beginning age.
The significance of mathematics is two-fold, it is essential in the progression of technological innovation and two, it is essential in our knowing of the technicalities of the galaxy. And in here and now you should individuals for self improvement, both psychologically and in the office.
Mathematics provides students with a exclusively highly effective set of resources to understand and change the globe. These resources include sensible thinking, problem-solving capabilities, and the capability to think in subjective ways. Arithmetic is essential in lifestyle, many types of career, technological innovation, medication, the economic system, the surroundings and growth, and in public decision-making.
One should also be aware of the extensive significance of Arithmetic, and the way in which it is improving at a amazing rate. Arithmetic is about routine and structure; it is about sensible research, reduction, computation within these styles and components. When styles are found, often in commonly different areas of technological innovation, the mathematics of these styles can be used to describe and control natural events and circumstances. Arithmetic has a persistent impact on our life, and plays a role in the prosperity of the individual.
The research of mathematics can fulfill a number of passions and capabilities. It produces the creativity. It teaches in clear and sensible thought. It is a task, with types of challenging concepts and unresolved problems, because it offers with the questions coming up from complex components. Yet it also has a ongoing drive to generality, to finding the right principles and methods to make challenging things easy, to describing why a situation must be as it is. In so doing, it produces a variety of terminology and concepts, which may then be used to make a essential participation to our knowing and admiration around the globe, and our capability to find and make our way in it.
Thursday, 8 June 2017
Application of statistics
List of fields of application of statistics
Statistics is the mathematical science involving the collection, analysis and interpretation of data. A number of specialties have evolved to apply statistical and methods to various disciplines. Certain topics have "statistical" in their name but relate to manipulations of probability distributions rather than to statistical analysis.
Actuarial science is the discipline that applies mathematical and statistical methods to assess risk in theinsurance and finance industries.Astrostatistics is the discipline that applies statistical analysis to the understanding of astronomical data.
Biostatistics is a branch of biologythat studies biological phenomena and observations by means of statistical analysis, and includesmedical statistics. Business analytics is a rapidly developing business process that applies statistical methods to data sets (often very large) to develop new insights and understanding of business performance & opportunities. Chemometrics is the science of relating measurements made on achemical system or process to the state of the system via application of mathematical or statistical methods. Demography is the statistical study of all populations. It can be a very general science that can be applied to any kind of dynamic population, that is, one that changes over time or space. Econometrics is a branch ofeconomics that applies statistical methods to the empirical study of economic theories and relationships. Environmental statistics is the application of statistical methods toenvironmental science. Weather, climate, air and water quality are included, as are studies of plant and animal populations. Epidemiology is the study of factors affecting the health and illness of populations, and serves as the foundation and logic of interventions made in the interest of public health and preventive medicine. Geostatistics is a branch ofgeography that deals with the analysis of data from disciplines such as petroleum geology, hydrogeology,hydrology, meteorology,oceanography, geochemistry,geography. Machine learning is the subfield ofcomputer science that formulates algorithms in order to make predictions from data. Operations research (or operational research) is an interdisciplinary branch of applied mathematics and formal science that uses methods such as mathematical modeling, statistics, and algorithms to arrive at optimal or near optimal solutions to complex problems. Population ecology is a sub-field ofecology that deals with the dynamics of species populations and how these populations interact with theenvironment. Psychometrics is the theory and technique of educational and psychological measurement of knowledge, abilities, attitudes, and personality traits. Quality control reviews the factors involved in manufacturing and production; it can make use ofstatistical sampling of product items to aid decisions in process control or in accepting deliveries.
Biostatistics is a branch of biologythat studies biological phenomena and observations by means of statistical analysis, and includesmedical statistics. Business analytics is a rapidly developing business process that applies statistical methods to data sets (often very large) to develop new insights and understanding of business performance & opportunities. Chemometrics is the science of relating measurements made on achemical system or process to the state of the system via application of mathematical or statistical methods. Demography is the statistical study of all populations. It can be a very general science that can be applied to any kind of dynamic population, that is, one that changes over time or space. Econometrics is a branch ofeconomics that applies statistical methods to the empirical study of economic theories and relationships. Environmental statistics is the application of statistical methods toenvironmental science. Weather, climate, air and water quality are included, as are studies of plant and animal populations. Epidemiology is the study of factors affecting the health and illness of populations, and serves as the foundation and logic of interventions made in the interest of public health and preventive medicine. Geostatistics is a branch ofgeography that deals with the analysis of data from disciplines such as petroleum geology, hydrogeology,hydrology, meteorology,oceanography, geochemistry,geography. Machine learning is the subfield ofcomputer science that formulates algorithms in order to make predictions from data. Operations research (or operational research) is an interdisciplinary branch of applied mathematics and formal science that uses methods such as mathematical modeling, statistics, and algorithms to arrive at optimal or near optimal solutions to complex problems. Population ecology is a sub-field ofecology that deals with the dynamics of species populations and how these populations interact with theenvironment. Psychometrics is the theory and technique of educational and psychological measurement of knowledge, abilities, attitudes, and personality traits. Quality control reviews the factors involved in manufacturing and production; it can make use ofstatistical sampling of product items to aid decisions in process control or in accepting deliveries.
Thursday, 4 May 2017
Least common multiple
The least common multiple of two numbers is the smallest number that can be divided evenly by your two original numbers.
Least Common Multiple
The least common multiple is a math topic you usually use when you're trying to find a common denominator between two fractions, and it's one of those things that you learn pretty early on in your education, but it can easily be forgotten or mistaken for a different math idea, usually the greatest common factor. So, let's start by reminding you exactly what it is.
The least common multiple of two numbers, often written as the LCM, is the smallest number that can be divided evenly by those original two numbers. For example, the LCM of 5 and 6 is 30, because it is the smallest number that both 5 and 6 go into. And, that's it - least common multiple.
What Is a Multiple?
But, in order to not forget what a least common multiple is in the future, it's probably best to understand some of the vocabulary in the name - mainly, what is a multiple? Well, the multiples of a number are just what you get when you multiply that number by 1, then 2, then 3 and so on. For example, the multiples of 2 are 2, 4, 6, 8, 10, 12 and on and on. Or, the multiples of 7 are 7, 14, 21, 28, 35 and on and on and on. Notice that 2 is a multiple of 2, and 7 is a multiple of 7. That means that any number is a multiple of itself; we'll need to remember that a little bit later on. Anyways, now that we know this vocabulary, we can say that the least common multiple just means the smallest multiple that two numbers have in common.
How to Find the Least Common Multiple
The most fool proof way to find a least common multiple is to list out all the multiples of each number and then find the first one they have in common, like I've been showing you so far. LCM of 8 and 6? Well, multiples of 8 are 8, 16, 24, 32... and the multiples of 6: 6, 12, 18, 24 - Ans - 24.
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