...Alternatives to Euclidean Geometry and Its Applications Negations to Euclid’s fifth postulate, known as the parallel postulate, give rise to the emergence of other types of geometries. Its existence stands in the respective models which their originators have imagined and designed them to be. The development of these geometries and its eventual recognition give humans some mathematical systems as alternative to Euclidean geometry. The controversial Euclid’s fifth postulate is phrased in this manner, to wit: “If a straight line crossing two straight lines makes the interior angles on the same side less than two right angles, the two straight lines, if extended indefinitely, meet on that side on which is the angles less than the two right angles.” which has been rephrased, and what is known as the parallel postulate as follows: “Given a line L and an external point P not on L, there exists a unique line m passing through P and parallel to L.” With the sphere as its model, is spherical (also called reimannian or elliptic) geometry being advanced by German mathematician, Bernhard Riemann who proposes the absence of a parallel line with Euclid’s fifth postulate as reference. His proposition is as follows: “ If L is any line and P is any point not on L, then there are no lines through P that are parallel to L” It contradicts Euclid’s fifth postulate mainly because no matter how careful one in constructing a line with a straightedge- as straight as it is- that line...
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...Distinguishing factors between Euclidean and non- Euclidean spaces: The space we inhabit cannot solely be determined by a priori Hassanah Smith Professor Mandik Philosophy of space and time There are a plethora of ways to distinguish the differences between Euclidean and non- Euclidean geometries. Understanding both geometries can help one determine our physical space rather than inferring because of past experiences, or in this instance postulates of geometry. Euclidean geometry studies planes and solid figures based on a number of axioms and theories. This is explained using flat spaces, hence the usage of paper, and dry erase boards in classrooms, and other flat planes to illustrate these geometrical standards. Some of Euclid’s concepts are 1. The shortest distances between two points is a straight line. 2. The sum of all angles in a triangle equals one hundred eighty degrees. 3. Perpendicular lines are associated with forming right angles. 4. All right angles are equal 5. Circles can be constructed when the point for the center and a distance of the radius is given. But Euclid is mostly recognized for the parallel postulate. This states that through a point not on a line, there is no more than one line parallel through the line. (Roberts, 2012) These geometries went unchallenged for decades until other forms of geometry was introduced in the early nineteen hundreds, because Euclid’s geometry could not be applied to explain all physical...
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...of a snowflake and try to make a mathematical sense out of it. In addition, I wanted to explore how to easily calculate the area of a complicated shape as snowflake. As I began to research how exactly I can approach the question, I encountered fractal geometry, which seemed to explain and address my question. Hence, by using a fractal, Von Koch Island, I have tried to make a “mathematical sense” out of snowflakes by exploring its...
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...------------------------------------------------- ------------------------------------------------- ------------------------------------------------- ------------------------------------------------- ------------------------------------------------- Submitted by: John Charlemagne Buan ------------------------------------------------- Submitted to: Ms. Harlene Santos ------------------------------------------------- ------------------------------------------------- ------------------------------------------------- Analytic geometry From Wikipedia, the free encyclopedia Analytic geometry, or analytical geometry, has two different meanings in mathematics. The modern and advanced meaning refers to the geometry of analytic varieties. This article focuses on the classical and elementary meaning. In classical mathematics, analytic geometry, also known as coordinate geometry, or Cartesian geometry, is the study of geometry using a coordinate system and the principles of algebra and analysis. This contrasts with the...
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...Introduction 1 Lagrangians and Poincar´-Cartan Forms e 1.1 Lagrangians and Contact Geometry . . . . . . . . . 1.2 The Euler-Lagrange System . . . . . . . . . . . . . . 1.2.1 Variation of a Legendre Submanifold . . . . . 1.2.2 Calculation of the Euler-Lagrange System . . 1.2.3 The Inverse Problem . . . . . . . . . . . . . . 1.3 Noether’s Theorem . . . . . . . . . . . . . . . . . . . 1.4 Hypersurfaces in Euclidean Space . . . . . . . . . . . 1.4.1 The Contact Manifold over En+1 . . . . . . . 1.4.2 Euclidean-invariant Euler-Lagrange Systems . 1.4.3 Conservation Laws for Minimal Hypersurfaces 2 The 2.1 2.2 2.3 2.4 2.5 Geometry of Poincar´-Cartan Forms e The Equivalence Problem for n = 2 . . . . . . . Neo-Classical Poincar´-Cartan Forms . . . . . . e Digression on Affine Geometry of Hypersurfaces The Equivalence Problem for n ≥ 3 . . . . . . . The Prescribed Mean Curvature System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v vii 1 1 7 7 8 10 14 21 21 24 27 37 39 52 58 65 74 79 80 80 85 93 97 102 110 111 114 3 Conformally Invariant Systems 3.1 Background Material on Conformal Geometry . . . . 3.1.1 Flat Conformal Space . . . . . . . . . . . . . 3.1.2 The Conformal...
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...contact their college or university of interest to learn about any additional institution-specific admission requirements that may apply. Carnegie Unit Requirements 16 Carnegie Units should be completed by students graduating high school prior to 2012. 17 Carnegie Units should be completed by students graduating high school in 2012 or later. Carnegie Unit Requirement In Specific Subject Areas 4 Carnegie units of college preparatory English Literature (American, English, World) integrated with grammar, usage and advanced composition skills 4 Carnegie units of college preparatory mathematics Mathematics I, II, III and a fourth unit of mathematics from the approved list, or equivalent courses* or Algebra I and II, geometry and a fourth year of advanced math, or equivalent courses* 3 Carnegie units of college preparatory science for students graduating prior to 2012 Including at least one lab course from life sciences and one lab course from the physical sciences 4 Carnegie units of college preparatory science for students graduating 2012 or later...
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...Cluster Analysis1 Cluster analysis, like reduced space analysis (factor analysis), is concerned with data matrices in which the variables have not been partitioned beforehand into criterion versus predictor subsets. In reduced space analysis our interest centers on reducing the variable space to a smaller number of orthogonal dimensions, which maintains most of the information–metric or ordinal– contained in the original data matrix. Emphasis is placed on the variables rather than on the subjects (rows) of the data matrix. In contrast, cluster analysis is concerned with the similarity of the subjects–that is, the resemblance of their profiles over the whole set of variables. These variables may be the original set or may consist of a representation of them in reduced space (i.e., factor scores). In either case the objective of cluster analysis is to find similar groups of subjects, where “similarity” between each pair of subjects is usually construed to mean some global measure over the whole set of characteristics–either original variables or derived coordinates, if preceded by a reduced space analysis. In this section we discuss various methods of clustering and the key role that distance functions play as measures of the proximity of pairs of points. We first discuss the fundamentals of cluster analysis in terms of major questions concerning choice of proximity measure, choice of clustering technique, and descriptive measures by which the resultant clusters can...
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...Wisconsin, Madison, 1210 West Dayton Street, WI 53706, USA c W.M. Keck Laboratory for Functional Brain Imaging and Behavior, University of Wisconsin, Madison, WI 53706, USA d Department of Psychology and Psychiatry, University of Wisconsin, Madison, WI 53706, USA e Department of Medical Physics, University of Wisconsin, Madison, WI 53706, USA f Montreal Neurological Institute, McGill University, Canada b Received 5 October 2004; revised 22 November 2004; accepted 3 December 2004 Available online 10 March 2005 We present a novel data smoothing and analysis framework for cortical thickness data defined on the brain cortical manifold. Gaussian kernel smoothing, which weights neighboring observations according to their 3D Euclidean distance, has been widely used in 3D brain images to increase the signal-to-noise ratio. When the observations lie on a convoluted brain surface, however, it is more natural to assign the weights based on the geodesic distance along the surface. We therefore develop a framework for geodesic distance-based kernel smoothing and statistical analysis on the cortical manifolds. As an illustration, we apply our methods in detecting the regions of abnormal cortical thickness in 16 high functioning autistic children via random field based multiple comparison correction that utilizes the new smoothing technique. D 2004 Elsevier Inc. All rights reserved. Keywords: Cortical thickness; Autism; Brain; Heat kernel;...
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...R I s k M a n a g e M e n T: the current financial crisis, lessons learned and future implications essay on the Financial Crisis by Andrew Winkler The current crisis is catalyzing an array of responses, including searching for causes, reworking regulations, scapederstanding of the cause, the remedies may do more harm goating and a massive capital injection. Without a clear unthan good, innocents may be scapegoated, and valuable progress in financial tools may be lost. Worse, it will happen again. From a simple mathematical model of the underlying make housing prices inversely proportional to the interest rate. If interest rates are cut in half, house prices double. When those rates double, house prices are slashed in half. When interest rates are large, they are not likely to double or halve, but when interest rates are small, a small adjustment can be a big percentage change, and the danger of big swings in housing prices is appreciable, even inevitable. With no down payment, no amortization and closing economics, I first predicted this crisis in July of 2004. An economic dynamic relating very low interest rates to the this outcome foreseeable, indeed inevitable. The current full explanations; see mattersofinterestmatters.blogspot.com. costs folded into the loan, the only issue in affording a structure of the demand curve in the housing market made crisis had a mathematical cause. There isn’t space here for This much is clear to everyone—the crisis results...
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...R i s k M a n a g e m e n t: The Current Financial Crisis, Lessons Learned and Future Implications Essay on the Financial Crisis by Andrew Winkler The current crisis is catalyzing an array of responses, in- make housing prices inversely proportional to the interest goating and a massive capital injection. Without a clear un- When those rates double, house prices are slashed in half. cluding searching for causes, reworking regulations, scapederstanding of the cause, the remedies may do more harm than good, innocents may be scapegoated, and valuable progress in financial tools may be lost. Worse, it will happen again. From a simple mathematical model of the underlying rate. If interest rates are cut in half, house prices double. When interest rates are large, they are not likely to double or halve, but when interest rates are small, a small adjustment can be a big percentage change, and the danger of big swings in housing prices is appreciable, even inevitable. With no down payment, no amortization and closing economics, I first predicted this crisis in July of 2004. An costs folded into the loan, the only issue in affording a structure of the demand curve in the housing market made multiplied by the interest rate. If interest rates are cut in economic dynamic relating very low interest rates to the this outcome foreseeable, indeed inevitable. The current crisis had a mathematical cause. There isn’t space here for full explanations; see mattersofinterestmatters...
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...2012-2013 Geometry Instructional Focus Calendar The Sarasota County Schools Instructional Focus Calendars (IFC) are designed to maximize and coordinate instruction throughout the district. The IFC gives the scope and sequence of the benchmarks that are to be covered in each course as laid out in the course description on the Florida Department of Education website, CPALMS (Curriculum Planning and Learning Management System): http://www.floridastandards.org/homepage/index.aspx The Instructional Focus Calendars feature content purpose statements and language purpose statements for each benchmark. The content purpose statements help the teachers and students to stay focused on what the expected outcome is for each lesson based on the benchmarks. The content purpose is the “piece” of the state benchmark students should learn and understand when the day’s lesson has been completed. The content purpose should require students to use critical and creative thinking to acquire information, resolve a problem, apply a skill, or evaluate a process and should be relevant to the student beyond the classroom or for learning’s sake. The language purpose statements allow the students to show their knowledge of the content by speaking or writing using the concepts and vocabulary acquired from the lesson. The language purpose statements identify student oral and written language needs for the day’s lesson. The language purpose is focused on the specialized or technical vocabulary students...
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...In the seventeenth century, European intellectuals developed a new understanding of scientific endeavor, namely to discern natural causes through quantitative measurement. Galileo first challenged the Scholastic supposition that mathematical astronomy was merely ancillary to natural philosophy, and by the middle of the century, both the Cartesian and Newtonian mechanical systems had placed mathematics at center stage, disdaining qualitative physics as irrelevant, unknowable, and misleading. Consistent with their methodology, the mechanists tended to reduce the ontological reality of the natural world to its quantitative aspects, implicitly or explicitly eliminating all categories other than extension, time, space, and motion. In this interpretation, Descartes’ treatment of matter as extension merely formalized an intellectual aesthetic that even his adversaries held in practice. We can easily see this penchant for quantification in Newton’s belief that all physics is mechanical, but we might not expect to find a mania for quantity among those who held a more poetic view of reality. Such an enigma is precisely what we discover in Blaise Pascal, a man who intensely contemplated the ineffable qualitative aspects of human and divine reality, yet remained as thoroughly mechanistic in his treatment of the natural world as Descartes himself. By exploring this dual reality of Pascal’s intellectual life, we can examine how his brand of fideism synthesized the enchanted world of his...
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...free encyclopedia This article is about the branch of mathematics. For other uses, see Calculus (disambiguation). Topics in Calculus Fundamental theorem Limits of functions Continuity Mean value theorem [show]Differential calculus [show]Integral calculus [show]Vector calculus [show]Multivariable calculus Calculus (Latin, calculus, a small stone used for counting) is a branch of mathematics focused on limits,functions, derivatives, integrals, and infinite series. This subject constitutes a major part of modernmathematics education. It has two major branches,differential calculus and integral calculus, which are related by the fundamental theorem of calculus. Calculus is the study of change,[1] in the same way that geometry is the study of shape and algebra is the study of operations and their application to solving equations. A course in calculus is a gateway to other, more advanced courses in mathematics devoted to the study of functions and limits, broadly called mathematical analysis. Calculus has widespread applications in science,economics, and engineering and can solve many problems for which algebra alone is insufficient. Historically, calculus was called "the calculus of infinitesimals", or "infinitesimal calculus". More generally, calculus (plural calculi) refers to any method or system of calculation guided by the symbolic manipulation of expressions. Some examples of other well-known calculi are propositional calculus, variational calculus, lambda...
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...g Easier! Making Everythin ™ heory tring T S Learn: • The basic concepts of this controversial theory • How string theory builds on physics concepts • The different viewpoints in the field • String theory’s physical implications Andrew Zimmerman Jones Physics Guide, About.com with Daniel Robbins, PhD in Physics Get More and Do More at Dummies.com® Start with FREE Cheat Sheets Cheat Sheets include • Checklists • Charts • Common Instructions • And Other Good Stuff! To access the Cheat Sheet created specifically for this book, go to www.dummies.com/cheatsheet/stringtheory Get Smart at Dummies.com Dummies.com makes your life easier with 1,000s of answers on everything from removing wallpaper to using the latest version of Windows. Check out our • Videos • Illustrated Articles • Step-by-Step Instructions Plus, each month you can win valuable prizes by entering our Dummies.com sweepstakes. * Want a weekly dose of Dummies? Sign up for Newsletters on • Digital Photography • Microsoft Windows & Office • Personal Finance & Investing • Health & Wellness • Computing, iPods & Cell Phones • eBay • Internet • Food, Home & Garden Find out “HOW” at Dummies.com *Sweepstakes not currently available in all countries; visit Dummies.com for official rules. String Theory FOR DUMmIES ‰ by Andrew Zimmerman Jones with Daniel Robbins, PhD in Physics String Theory For Dummies® Published by Wiley Publishing, Inc. 111 River St. Hoboken, NJ 07030-5774 www...
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...Practical Search Techniques in Path Planning for Autonomous Driving Sebastian Thrun Dmitri Dolgov AI & Robotics Group Toyota Research Institute Ann Arbor, MI 48105 ddolgov@ai.stanford.edu Michael Montemerlo James Diebel Computer Science Department Computer Science Department Computer Science Department Stanford University Stanford University Stanford University Stanford, CA 94305 Stanford, CA 94305 Stanford, CA 94305 diebel@stanford.edu mmde@ai.stanford.edu thrun@ai.stanford.edu Abstract We describe a practical path-planning algorithm that generates smooth paths for an autonomous vehicle operating in an unknown environment, where obstacles are detected online by the robot’s sensors. This work was motivated by and experimentally validated in the 2007 DARPA Urban Challenge, where robotic vehicles had to autonomously navigate parking lots. Our approach has two main steps. The first step uses a variant of the well-known A* search algorithm, applied to the 3D kinematic state space of the vehicle, but with a modified state-update rule that captures the continuous state of the vehicle in the discrete nodes of A* (thus guaranteeing kinematic feasibility of the path). The second step then improves the quality of the solution via numeric non-linear optimization, leading to a local (and frequently global) optimum. The path-planning algorithm described in this paper was used by the Stanford Racing Teams robot, Junior, in the Urban Challenge. Junior demonstrated...
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