'1 log' presentation slideshows

The BNB Quarterly Projection Model Emilia Penkova and Svilen Pachedzhiev

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CS322

Week 12 - Friday. CS322. Last time. What did we talk about last time? Asymptotic notation. Questions?. Logical warmup. A pot contains 75 white beans and 150 black ones Next to the pot is a large pile of black beans.

566 views • 49 slides

Estimating the longest increasing sequence in polylogarithmic time

Estimating the longest increasing sequence in polylogarithmic time. C. Seshadhri ( Sandia National Labs) Joint work with Michael Saks ( Rutgers University ).

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Regression Models

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Approximating Quantiles over Sliding Windows Srimathi Harinarayanan CMPS 565

Approximating Quantiles over Sliding Windows Srimathi Harinarayanan CMPS 565. 1. 1. 0. 0. 1. 0. 1. 1. 1. 0. 1. Streams Here, There, Everywhere!. Network Traffic Engineering. Call Record Analysis. Sensor Data Analysis. Medical, Financial Monitoring. Etc, etc, etc.

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Konowledge spillovers and convergence

Konowledge spillovers and convergence. Introduce sector specific knowledge spillovers across countries Study sectoral dynamic behavior of: Expected distance of country productivity from world frontier productivity Expected growth rate of productivity. Technology transfer in sector i.

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Near-Optimal Private Approximation Protocols via a Black Box Transformation

Near-Optimal Private Approximation Protocols via a Black Box Transformation. David Woodruff IBM Almaden. Outline. Communication Protocols and Goals Private Approximation Protocols Previous Work Our Results Proof of our Main Transformation. t-Party Communication Model. x 1. x t. x 2.

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Logarithmic Functions

Logarithmic Functions. Done by: Jihan Haya Fatma Laila Maryam Moodey. Main points. History Why do we care Definition of logarithm Common logarithm Laws of logarithm Changing the base Graphing logarithmic function. History. Logarithms were invented independently by John Napier, a

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Embedding Metric Spaces in Their Intrinsic Dimension

Embedding Metric Spaces in Their Intrinsic Dimension. Ittai Abraham , Yair Bartal*, Ofer Neiman The Hebrew University * also Caltech. Emebdding Metric Spaces. Metric spaces (X,d X ), (Y,d Y ) Embedding is a function f : X ? Y Distortion is the minimal ? such that

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Exponential Functions

Exponential Functions. An exponential function is of the form f ( x ) = a x , where a > 0. a is called the base . Ex. Let h ( x ) = 3.1 x , evaluate h (-1.8). Ex. Sketch f ( x ) = 2 x and g ( x ) = 4 x. Ex. Sketch f ( x ) = 2 - x and g ( x ) = 4 - x.

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EXPONENTS AND LOGARITHMS

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Numerical Relativity is still Relativity

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????? II NP ??

????? II NP ??. ??4?? ????. ?????. ????? ??? 1/30, 2/2 ??? 2/9 ???? ??? 1/30 ???????. ???????. ?? ????? ????? NP ?? ?????? ????????????. P, NP. P ??? Turing ???????????? ??????? NP ???? Turing ???????????? ??????? P?NP ??????????. P ???. NP ???. PSPACE, NSPACE.

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Basic theoretical model and optimal tax formulas with externalities: U( c,e,E )

Public Economics: Tax & Transfer Policies (Master PPD & APE, Paris School of Economics) Thomas Piketty Academic year 2014-2015. Lecture 3: Externalities & corrective taxation: illustration with global warming & carbon taxes ( January 6 th 2015) (check on line for updated versions).

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????????????

????????????. ?????????????. ??????. ?????? ????? (time complexity) ????? ????? (space complexity) ????? ?????????????. ????. ??. ??????. ????. ??. ????????????????. ??????. GCD (Greatest Common Diviser) [ ??????????? ] ?????? a 0 , a 1 ??? a 0 ? a 1 ??????. ??.

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???????? ??? 2012 ? 11 ? Mark.chen@empowerstats Changzhong_chen@dfci.harvard

? ??? ? ??? ?? I ??? ??? ? ? ????? ??? ???. ???????? ??? 2012 ? 11 ? Mark.chen@empowerstats.com Changzhong_chen@dfci.harvard.edu. ???? ? t ?? / ???? / ???? ?. ???????????????????????. Y i = ? 0 + ? 1 * X i + e i. ? 0. e i. X = 0. ? 1. X = 1. e i. ? ? 1 = 0. ? 0 + ? 1.

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GRANT UNION HIGH SCHOOL

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Solving Exponential Equations

Solving Exponential Equations. Example 1 10 x-2 = (2) -x+4 log10 x-2 = log2 -x+4 (x-2)log10 = (-x+4)log2 (x-2) log10 = (-x+4) log2 3.32(x-2) = (-x+4) 3.32x-6.64 = -x+4 4.32x = 10.64 x = 2.46. Example 2 2 x+1 = 3 5 x

928 views • 11 slides

Section 9.4 Properties of Logarithms

Section 9.4 Properties of Logarithms. Review Basic Properties of Logarithms log b 1 =0 log b b= 1 log b b x =x b log bx =x The Product Rule The Power Rule The Quotient Rule Writing Expressions as a Single Logarithm The Change of Base Formula Application.

341 views • 7 slides