Essays about: "Spec"
Showing result 1 - 5 of 41 essays containing the word Spec.
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1. Clueless: A Tool Characterising Values Leaking as Addresses : Clueless: A Tool Characterising Values Leaking as Addresses
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : A fundamental programming feature that allows Spectre to effortlessly leak the value of secrets via cache side channels is the transformation of data values into addresses. Consider forexample sorting, hashing, or many other algorithms that create addresses based on datavalues. READ MORE
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2. Strain rate-dependent mechanical properties of high-density polyethylene(HDPE)
University essay from Blekinge Tekniska Högskola/Institutionen för maskinteknikAbstract : In today’s packaging industry HDPE is widely used and correct understanding of itsproperties and how to model them is of vital importance. HDPE is a semi-crystallinepolymer with a known strain rate dependence, that is a higher yield and lower strainto failure at higher strain rates. READ MORE
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3. Introduction to Algebraic Geometry with a View Toward Hilbert Schemes
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : In this bachelor’s thesis an introduction to the fundamentals of algebraic geometry is given. Some concepts in algebraic geometry are introduced such as Spec of a ring and Proj of a graded ring and several results related to these are either proven or stated. READ MORE
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4. Pricing Currency Options with Bates Model: Analytical Tractability versus Empirical Misspeci cation
University essay from Göteborgs universitet/Graduate SchoolAbstract : In this thesis I complement the results from Bates (1996) wherein a Stochastic Volatility Jump-Di usion model for pricing foreign currency options is introduced and evaluated against USD/DM foreign exchange options. I complement Bates results with two di erent calibration methodologies, nonlinear least-squares and the built-in MATLAB function fmincon, using the same dataset that was used in Bates (1996). READ MORE
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5. Pretraining a Neural Network for Hyperspectral Images Using Self-Supervised Contrastive Learning
University essay from Linköpings universitet/DatorseendeAbstract : Hyperspectral imaging is an expanding topic within the field of computer vision, that uses images of high spectral granularity. Contrastive learning is a discrim- inative approach to self-supervised learning, a form of unsupervised learning where the network is trained using self-created pseudo-labels. READ MORE
